Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2209.04030
Cited By
v1
v2
v3 (latest)
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
Conference on Computer and Communications Security (CCS), 2022
8 September 2022
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks"
6 / 6 papers shown
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
549
7
0
03 May 2025
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
Tianwei Lan
Luca Demetrio
Farid Nait-Abdesselam
Yufei Han
Simone Aonzo
AAML
369
4
0
14 Mar 2025
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
Debarghya Ghoshdastidar
Stephan Günnemann
AAML
640
6
0
15 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
390
26
0
09 Jul 2024
Fluent: Round-efficient Secure Aggregation for Private Federated Learning
Xincheng Li
Jianting Ning
G. Poh
Leo Yu Zhang
Xinchun Yin
Tianwei Zhang
FedML
270
2
0
10 Mar 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
296
22
0
20 Jul 2022
1
Page 1 of 1
