Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

16 February 2021

Sébastien Rouault

Papers citing "Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?"

18 / 18 papers shown

Title
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 53 0 0 03 May 2025
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning Emre Ozfatura Kerem Ozfatura Alptekin Kupcu Deniz Gunduz AAML 35 0 0 09 Apr 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data Richeng Jin Yujie Gu Kai Yue Xiaofan He Zhaoyang Zhang Huaiyu Dai FedML 20 0 0 16 Feb 2024
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 21 2 0 22 Dec 2023
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 26 2 0 11 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 38 11 0 07 Sep 2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning Haoxiang Ye He Zhu Qing Ling FedML 36 11 0 28 Aug 2023
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum Xiaolan Gu Ming Li Lishuang Xiong FedML 30 4 0 22 Jun 2023
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 36 21 0 15 Apr 2023
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense Andrei Kucharavy Z. Schillaci Loic Maréchal Maxime Wursch Ljiljana Dolamic Remi Sabonnadiere Dimitri Percia David Alain Mermoud Vincent Lenders ELM AI4CE 30 31 0 21 Mar 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 18 21 0 09 Feb 2023
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu Qing Ling FedML 20 23 0 29 Apr 2022
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning Minghui Xu Zong-bao Zou Ye Cheng Qin Hu Dongxiao Yu Xiuzhen Cheng 22 3 0 06 Jan 2022
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy Xiaolan Gu Ming Li Lishuang Xiong FedML 18 10 0 22 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 40 4 0 08 Oct 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection Arthur Drichel Benedikt Holmes Justus von Brandt Ulrike Meyer 92 7 0 24 Sep 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 47 13 0 16 Jun 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 144 420 0 29 Nov 2018