CryptoNAS: Private Inference on a ReLU Budget

15 June 2020

Papers citing "CryptoNAS: Private Inference on a ReLU Budget"

20 / 20 papers shown

Title
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning Wenqiang Ruan Xin Lin Ruisheng Zhou Guopeng Lin Shui Yu Weili Han 55 0 0 16 Feb 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 89 2 0 20 Jan 2025
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 220 1 0 27 Aug 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 22 0 0 08 Feb 2024
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 47 38 0 20 Aug 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch Nir Drucker Gilad Ezov Yoav Goldberg Eyal Kushnir Jenny Lerner Omri Soceanu Itamar Zimerman 49 6 0 26 Apr 2023
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 29 21 0 25 Nov 2022
HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits Jianqiao Mo Jayanth Gopinath Brandon Reagen 29 22 0 23 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 24 14 0 27 Oct 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference Ran Ran Nuo Xu Wei Wang Quan Gang Jieming Yin Wujie Wen GNN 31 20 0 24 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference Hongwu Peng Shangli Zhou Yukui Luo Shijin Duan Nuo Xu ... Tong Geng Ang Li Wujie Wen Xiaolin Xu Caiwen Ding 44 3 0 20 Sep 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 12 0 27 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 59 5 0 26 Aug 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 52 18 0 24 Jun 2022
Selective Network Linearization for Efficient Private Inference Minsu Cho Ameya Joshi S. Garg Brandon Reagen Chinmay Hegde 19 43 0 04 Feb 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 34 20 0 17 Jun 2021
DeepReDuce: ReLU Reduction for Fast Private Inference N. Jha Zahra Ghodsi S. Garg Brandon Reagen 47 90 0 02 Mar 2021
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning A. Inci Mehmet Meric Isgenc Diana Marculescu 32 20 0 08 Dec 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016