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Sefik Ilkin Serengil 2025-03-10 13:29:06 +00:00 committed by GitHub
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@ -385,10 +385,10 @@ from lightphe import LightPHE
cs = LightPHE(algorithm_name = "Paillier", precision = 19)
# export keys
cs.export_keys("secret.txt"); cs.export_keys("public.txt", public=True)
cs.export_keys("public.txt", public=True)
# define a plain vector for source
alpha = DeepFace.represent("img1.jpg")[0]["embedding"] # user tower
# define a plain vector for source (user tower)
alpha = DeepFace.represent("img1.jpg")[0]["embedding"]
# encrypt source embedding
encrypted_alpha = cs.encrypt(alpha)
@ -396,10 +396,10 @@ encrypted_alpha = cs.encrypt(alpha)
# restore the cryptosystem in cloud with only public key
cloud_cs = LightPHE(algorithm_name = "Paillier", precision = 19, key_file = "public.txt")
# define a plain vector for target
beta = DeepFace.represent("target.jpg")[0]["embedding"] # item tower
# define a plain vector for target (item tower)
beta = DeepFace.represent("target.jpg")[0]["embedding"]
# dot product of encrypted and plain embedding pair
# dot product of encrypted and plain embedding pair in cloud
encrypted_cosine_similarity = encrypted_alpha @ beta
# computed by the cloud but cloud cannot decrypt it - magic of homomorphic encryption!