There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Do you have sample dataset of Y and result ?
Qhat input? , Qhat output?
Topic: Neural Networks and Secp256k1 - page 2. (Read 467 times)
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Do you have sample dataset of Y and result ?
Qhat input? , Qhat output?
Again, we don't need large sophisticated neural networks, small ones will do. Though at this point you're making more of an empirical test of already used pubkeys since the Y polarity of the entire public key space converges to 50%.
if do small one, neural networks
for who know about neural networks. you can do with you Nvidia CUDA GPU. you know already to do.
but still not yet have sample code on github for try and testing
but for who don't know must about neural networks
try AutoML Tables by google cloud
https://cloud.google.com/automl-tables
just upload dataset to server and training, that easy to use without no coding
(other service both Microsoft Azure AutoML and Amazon AWS SageMaker have Automatic neural networks service same)
Y+(-Y) = FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEFFFFFC2F(MODULO) 
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Yes. but it cannot be usefull for deccision. Have any idea baout Y, -Y relationship?
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Y+(-Y) = FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEFFFFFC2F(MODULO)
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Have any idea baout Y, -Y relationship?
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Have any idea baout Y, -Y relationship?
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
There no know relationship between Y and -Y. Atleast for polynominal. Thats why im trying to use neural network to discover that,
Have any idea about Y, -Y relationship?
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B",
publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
X= FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556
Y= 51ED8885530449DF0C4169FE80BA3A9F217F0F09AE701B5FC378F3C84F8A0998
Y= AE12777AACFBB620F3BE96017F45C560DE80F0F6518FE4A03C870C36B075F297
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
Yes, its 50/50 ofc. each X have 2 Ys. The point is to get deccion by NN to get correct first half or second half. 02,03 its compressed, uncompressed form have 32 bytes too.
Or get dirrection when subtracting
X -Y sub 1 == X Y add 1
Did we need to create new algorithm to this this problem? or it is already have it?
use neural networks is require high power of hardware (and high power software too)
use neural networks is require high power of hardware (and high power software too)
Again, we don't need large sophisticated neural networks, small ones will do. Though at this point you're making more of an empirical test of already used pubkeys since the Y polarity of the entire public key space converges to 50%.
As far as I know, it is exactly 50% of keys. For any public key you can negate it and switch it from 02 to 03 or from 03 to 02. It is totally symmetric, I cannot see a single example where it would be ambiguous or where more than a pair of keys could be produced in that way. You can see it simply by using G and -G and incrementing or decrementing points. You would see a pairs of private keys: (1;-1);(2;-2);(3;-3);... When dealing with private keys, you can simply subtract your private key from the maximum and get your negated private key. For public keys, you can switch between 02 and 03 prefix. That's all.
Code:
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413B", publicKey="02FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413C", publicKey="032F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413D", publicKey="03E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413E", publicKey="03F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD036413F", publicKey="03C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364140", publicKey="0379BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000001", publicKey="0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
privateKey="0000000000000000000000000000000000000000000000000000000000000002", publicKey="02C6047F9441ED7D6D3045406E95C07CD85C778E4B8CEF3CA7ABAC09B95C709EE5"
privateKey="0000000000000000000000000000000000000000000000000000000000000003", publicKey="02F9308A019258C31049344F85F89D5229B531C845836F99B08601F113BCE036F9"
privateKey="0000000000000000000000000000000000000000000000000000000000000004", publicKey="02E493DBF1C10D80F3581E4904930B1404CC6C13900EE0758474FA94ABE8C4CD13"
privateKey="0000000000000000000000000000000000000000000000000000000000000005", publicKey="022F8BDE4D1A07209355B4A7250A5C5128E88B84BDDC619AB7CBA8D569B240EFE4"
privateKey="0000000000000000000000000000000000000000000000000000000000000006", publicKey="03FFF97BD5755EEEA420453A14355235D382F6472F8568A18B2F057A1460297556"
We don't need all that powerful hardware, because we're not trying to guess the range of the Y point, we are only trying to guess whether it is positive or negative.
For such an analysis you only need a few hundred thousand public keys and I wouldn't be surprised if you could run such a simulation on a single laptop.
yes, use mathematical is smart way and no need to use powerful hardware
like ECC calculate fast
Did we need to create new algorithm to this this problem? or it is already have it?
use neural networks is require high power of hardware (and high power software too)
problem Y point is 256 bit is very large number not easy to put to dataset
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
We don't need all that powerful hardware, because we're not trying to guess the range of the Y point, we are only trying to guess whether it is positive or negative.
For such an analysis you only need a few hundred thousand public keys and I wouldn't be surprised if you could run such a simulation on a single laptop.
Is it possible to know from the Y of the public key that private key is range > 0xfffffffffffffffffffffffffffffffe*********************
I Remember to read it in an article ...
this is a mathematical problem
I Remember to read it in an article ...
this is a mathematical problem
We're not interested in private keys, we are trying to guess how often a public key has a positive Y coordinate (or negative Y).
Large number:
Biginteger to byte array
or Biginteger to bit array
/ normalize.
Yes, dont need tons of GPU. I've alrady tried 50m dataset, but it dropped only to 0.9996 selection error, and thats still random. 512 , 256, 128,64. hidden neurons
Yes, we dont use private key, but we use its odd or even. Its not about Public key to Private key. Its about Public key to private key > n/2 or < n/2.
problem Y point is 256 bit is very large number not easy to put to dataset
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
We don't need all that powerful hardware, because we're not trying to guess the range of the Y point, we are only trying to guess whether it is positive or negative.
For such an analysis you only need a few hundred thousand public keys and I wouldn't be surprised if you could run such a simulation on a single laptop.
Is it possible to know from the Y of the public key that private key is range > 0xfffffffffffffffffffffffffffffffe*********************
I Remember to read it in an article ...
this is a mathematical problem
I Remember to read it in an article ...
this is a mathematical problem
We're not interested in private keys, we are trying to guess how often a public key has a positive Y coordinate (or negative Y).
Is it possible to know from the Y of the public key that private key is range > 0xfffffffffffffffffffffffffffffffe*********************
I Remember to read it in an article ...
this is a mathematical problem
I Remember to read it in an article ...
this is a mathematical problem
How can use neural networks dataset?
do you have more detail ?
how to use classification?
how to deal with large number?
neural networks require to some large search support
it can not do alone one person or small team
I think we can not do it (you only one alone or you team 2-5 person)
project neural networks risk to fail 100% no body to try it (who do it fail not tell us to know)
nobody try one may be know result not easy possible
only keras 5 layer and perceptron 256 or 512 can not do this job
it can not normal neural networks to do this job must be very complex neural networks do this
easy you can try maximum layer keras can do
what is dataset to use
input?
output?
input
may be convert to binary and each column is one bit
neural networks not understand character must be convert to digit or only 1 and 0 (one-hot encode data)
problem Y point is 256 bit is very large number not easy to put to dataset
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
how many AI.? I guest over 256 AI. by one Ai. for one bit coalition
or may be 256*256 = 65,536 AI for do it
how many layer? I guess over 48 layer
may be (sample)
48-layer, 1600-hidden, 25-heads, 1558M parameters
24-layer, 2048-hidden, 16-heads, 1.3B parameters.
32-layer, 2560-hidden, 20-heads, 2.7B parameters.
BERT use 168M parameters
GPT-2 is with 1.5 billion parameters
full-sized GPT-3 has 175 billion parameters
so possible minimum require will be 175 billion parameters as research can do for now
some idea
using deep learning to train
use deep reinforcement learning (must be better than AlphaGo)
use NLP/MLM to translate (modify to special use)
modify BIRT to works
modify GPT-2 to works
use generative deep learning to train one ai generate and one verify
problem may be need to require training over a year
result possible to get very low accurate rate
if can do possible to get only just close up number on range not correct number
I believe some AI. search do some research about blockchain
not easy
project require large fund to support
what research want to do
blockchain is great project freedom without control need tp be upgrade to very stronger
research need to be do first before some one do it and use at wrong way
I think may be natural networks possible can find found vulnerability need to fix it
layer reference see
https://huggingface.co/transformers/pretrained_models.html
DeepMind A.I. unit lost $649 million (so how many budget to use for this )
other, you need hardware like Nvidia A100 over 1000 GPU
or NVIDIA DGX A100 x 100 (or NVIDIA DGX POD)
see hardware for training
https://en.wikipedia.org/wiki/AlphaGo
no body create project natural networks like this on GitHub
can not find sample project
try start project one and open to forked to extend update
found other project on this forum post
https://github.com/btc-room101/bitcoin-rnn
do you have more detail ?
how to use classification?
how to deal with large number?
neural networks require to some large search support
it can not do alone one person or small team
I think we can not do it (you only one alone or you team 2-5 person)
project neural networks risk to fail 100% no body to try it (who do it fail not tell us to know)
nobody try one may be know result not easy possible
only keras 5 layer and perceptron 256 or 512 can not do this job
it can not normal neural networks to do this job must be very complex neural networks do this
easy you can try maximum layer keras can do
what is dataset to use
input?
output?
input
may be convert to binary and each column is one bit
neural networks not understand character must be convert to digit or only 1 and 0 (one-hot encode data)
problem Y point is 256 bit is very large number not easy to put to dataset
problem most AI. result have answer short is 1 and 0 or limited digit number of possibility
may be need to develop AI. 256 AI. for each bit
may be need to use maximum neural networks layer
may be require minimum to level same or high more than OpenAI GPT-3
how many AI.? I guest over 256 AI. by one Ai. for one bit coalition
or may be 256*256 = 65,536 AI for do it
how many layer? I guess over 48 layer
may be (sample)
48-layer, 1600-hidden, 25-heads, 1558M parameters
24-layer, 2048-hidden, 16-heads, 1.3B parameters.
32-layer, 2560-hidden, 20-heads, 2.7B parameters.
BERT use 168M parameters
GPT-2 is with 1.5 billion parameters
full-sized GPT-3 has 175 billion parameters
so possible minimum require will be 175 billion parameters as research can do for now
some idea
using deep learning to train
use deep reinforcement learning (must be better than AlphaGo)
use NLP/MLM to translate (modify to special use)
modify BIRT to works
modify GPT-2 to works
use generative deep learning to train one ai generate and one verify
problem may be need to require training over a year
result possible to get very low accurate rate
if can do possible to get only just close up number on range not correct number
I believe some AI. search do some research about blockchain
not easy
project require large fund to support
what research want to do
blockchain is great project freedom without control need tp be upgrade to very stronger
research need to be do first before some one do it and use at wrong way
I think may be natural networks possible can find found vulnerability need to fix it
layer reference see
https://huggingface.co/transformers/pretrained_models.html
DeepMind A.I. unit lost $649 million (so how many budget to use for this )
other, you need hardware like Nvidia A100 over 1000 GPU
or NVIDIA DGX A100 x 100 (or NVIDIA DGX POD)
see hardware for training
https://en.wikipedia.org/wiki/AlphaGo
no body create project natural networks like this on GitHub
can not find sample project
try start project one and open to forked to extend update
found other project on this forum post
https://github.com/btc-room101/bitcoin-rnn
We dont know position of their privkeys, so its useless.
With taproot, that kind of analysis will be worthless, because all taproot public keys would be 256-bit and they would start with 02 prefix.
Agreed, Y is splitted around 50%. Its same for signifcant bit and Y polarity what anwser is binary. The main question what size of dataset should be. Type of it. size of hidden layers.
You'll probably want to scrape points directly from historic blockchain transactions such as ones from 2017 and 2018. I wouldn't simply randomly generate points if the purpose is to guess the polarity of Y in public keys that are used in real life, there's no use to that.
Given that each block averages a few thousand transactions, you'll want to train on transactions from a few hundred blocks, which'll result in about a few million or hundred thousand compressed points of training data. And that shouldn't take more than a few dozen MB if they are stored as text, one compressed address per line.
Remembering that an epoch is 2016 blocks long, you can either choose to target trends in Y polarity for a single epoch (given that most bitcoin "politics" occur right at the beginning and usually last for the epoch duration), or you can sample blocks from different epochs and try to get a general idea of Y polarity throughout history.
I'm not really sure how many hidden layers would be necessary for this kind of thing, but maybe one of the answers at https://stats.stackexchange.com/questions/181/how-to-choose-the-number-of-hidden-layers-and-nodes-in-a-feedforward-neural-netw will help.
Agreed, Y is splitted around 50%. Its same for signifcant bit and Y polarity what anwser is binary. The main question what size of dataset should be. Type of it. size of hidden layers.
I'm not aware of any research about trying to guess the polarity of the Y coordinate, which by the way will always have false positives if neural networks are used, but one caveat is that the distribution between odd-Y and even-Y points is sort of normal, there isn't a vast majority of points in the space that are either odd or even Y. So any deep learning classification is going to tend somewhere around ans == 0.5. It converges to that, anyway, given you have millions of random points in your dataset.
Did someone tried to disignate singificant bit, or polarity of Y cord on Secp256k1 by neural networks?
Any calculations about dataset size to get a liitle more percentege from random dessicion?
Should be used Y coordinate in dataset for learning for signifacnt bit.
Any possible checks except Key && Key+G && NN ans >0.5 && ans < 0.5?
Any calculations about dataset size to get a liitle more percentege from random dessicion?
Should be used Y coordinate in dataset for learning for signifacnt bit.
Any possible checks except Key && Key+G && NN ans >0.5 && ans < 0.5?
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