Janus-FHE: Reducing Microarchitectural Leakage in GPU-Based Homomorphic Encryption

본문 미리보기

Homomorphic Encryption (HE) enables secure cloud computing through computations on encrypted data, but the physical execution of HE workloads on shared GPUs can still expose relevant metadata through microarchitectural behavior. We present a case study of BFV relinearization in HEonGPU, a state-of-the-art GPU HE library, and show that repeated executions exhibit structured, reproducible variation in shared-L2 activity across relinearization-key contexts. Our analysis further shows that the regul