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University of Central Florida
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FEnc2 achieves up to 228.83x speedup in private inference by revolutionizing how data is packed and processed in Fully Homomorphic Encryption.
Finally, a defense against model extraction comes with rigorous theoretical guarantees, using mutual information to certify DNN ownership.
