arxivcs.CRcs.AIcs.ARcs.DCcs.LG2026-07-20
PRISM: Sensitivity-Aware PolynoMial PRuning for EffIcient Neural Network Encryption
Structured pruning is essential for making neural network inference feasible under homomorphic encryption (HE), yet its impact on model reliability has remained unexplored. This paper presents a systematic reliability characterization of pruned CKKS-encrypted neural networks and…