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cs.CR2026
ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour
Jianhang Xie, Sicheng Tan, Vishnu Naresh Boddeti +1
Fully homomorphic encryption (FHE) lets a server run inference on encrypted data with strong privacy guarantees, but running a Transformer under FHE is expensive. Its non-linear op…
cs.CR2025
Shielding Latent Face Representations From Privacy Attacks
Arjun Ramesh Kaushik, Bharat Chandra Yalavarthi, Arun Ross +2
In today's data-driven analytics landscape, deep learning has become a powerful tool, with latent representations, known as embeddings, playing a central role in several applicatio…