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2209.04030
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Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
8 September 2022
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
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Papers citing
"Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks"
10 / 10 papers shown
Title
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
41
0
0
03 May 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
30
0
0
24 Apr 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
51
0
0
14 Mar 2025
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
D. Ghoshdastidar
Stephan Günnemann
AAML
33
3
0
15 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
Yuxin Yang
Qiang Li
Jinyuan Jia
Yuan Hong
Binghui Wang
AAML
FedML
49
11
0
12 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
29
2
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
24
2
0
10 Mar 2024
Attacking Byzantine Robust Aggregation in High Dimensions
Sarthak Choudhary
Aashish Kolluri
Prateek Saxena
AAML
20
1
0
22 Dec 2023
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
23
16
0
20 Jul 2022
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
16
51
0
27 Jan 2021
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