FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models, ESORICS 2023 > International Papers

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models

Younghan Lee, Yungi Cho, Woorim Han, Ho Bae* and Yunheung Paek*

European Symposium on Research in Computer Security (ESORICS) 2023

∗ : Correspondence should be addressed to H. Bae and Y. Peak

0
0

Privacy Enhancing Computing SLOTHE: Lazy Approximation of Non-Arithmetic Neural Network Functions over Encrypted Data, USENIX Security 2025

Privacy Enhancing Computing Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025 Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025

Privacy Enhancing Computing LOHEN: Layer-wise Optimizations for Neural Network Inferences over Encrypted Data with high Performance or Accuracy, USENIX Security 2025

Privacy Enhancing Computing Affinity-based Optimizations of Homomorphic Encryption Operations on Processing-in-DRAM, DAC WIP 2024