Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices, ESORICS 2022 > International Papers

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Device

Younghan Lee, Sohee Jun, Yungi Cho, Woorim Han, Hyungon Moon∗, Yunheung Paek∗

European Symposium on Research in Computer Security (ESORICS)

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

0
0

Privacy Enhancing Computing HEPIC: Private Inference over Homomorphic Encryption with Client Intervention, ASPLOS 2026

Privacy Enhancing Computing Towards an Efficient Dataflow-flexible Accelerator by Finding Optimal Dataflows of DNNs, Future Generation Computer Systems, Sep 2025

Privacy Enhancing Computing An Accelerator for Low-computational Overhead Privacy-Preserving GNN Inference, HiPC 2025

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