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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
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
1