Comments (2)
for noise estimation, some inspiration might be found in the SEAL library and its documentation (section 6), which comes with an estimator for the FV scheme
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If it helps, I found that Paillier fails to decrypt to accurate numbers after multiplication at a depth of 20, for all tensor shapes and sizes that I tried.
Here's what I did(this one for a simple tensor):
from syft.he.paillier import KeyPair, PaillierTensor
from syft import TensorBase
import numpy as np
pubkey, privkey = KeyPair().generate()
arr1 = np.ones(3, dtype=float)
a = PaillierTensor(pubkey, arr1)
b = TensorBase(arr1)
c = a * b
for i in range(25):
c = b * c
if c.decrypt(privkey).data.all() == arr1.all():
print(i, '_mul_depth =', c._mul_depth, ' decryption functional:', c.decrypt(privkey))
else:
print(i, ' _mul_depth =', c._mul_depth, ' decryption failed:', c.decrypt(privkey))
break
But addition goes on for way longer...
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