Jack P. K. Ma

Learning Model with Error -- Exposing the Hidden Model of BAYHENN

Privacy-preserving deep neural network (DNN) inference remains an intriguing problem even after the rapid developments of different communities. One challenge is that cryptographic techniques such as homomorphic encryption (HE) do not natively support non-linear computations (e.g., sigmoid). A recen…