Analyzing Federated Learning through an Adversarial Lens

29 November 2018

Papers citing "Analyzing Federated Learning through an Adversarial Lens"

50 / 145 papers shown

Title
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 45 14 0 07 Sep 2022
A simplified convergence theory for Byzantine resilient stochastic gradient descent Lindon Roberts E. Smyth 23 3 0 25 Aug 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering Rui Wang Xingkai Wang H. Chen Jérémie Decouchant S. Picek Ziqiang Liu K. Liang 36 1 0 22 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network Jingcai Guo Song Guo Jie Zhang Ziming Liu FedML 25 15 0 21 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 28 13 0 21 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 43 90 0 05 Aug 2022
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Zaixi Zhang Xiaoyu Cao Jin Jia Neil Zhenqiang Gong AAML FedML 13 214 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 37 3 0 19 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 18 9 0 15 Jul 2022
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 28 26 0 13 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 21 13 0 05 Jul 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 42 17 0 24 Jun 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 27 130 0 12 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 29 2 0 08 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 0 06 Jun 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning Dun Zeng Shiyu Liu Siqi Liang Zonghang Li Hongya Wang Irwin King Zenglin Xu FedML 14 0 0 26 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 26 2 0 22 May 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 31 13 0 09 May 2022
Over-The-Air Federated Learning under Byzantine Attacks Houssem Sifaou Geoffrey Ye Li OOD FedML 32 7 0 05 May 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Kiyoon Yoo Nojun Kwak SILM AAML FedML 17 19 0 29 Apr 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 25 15 0 26 Apr 2022
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection Mohanad Sarhan Wai Weng Lo S. Layeghy Marius Portmann 18 59 0 08 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation Dazhong Rong Shuai Ye Ruoyan Zhao Hon Ning Yuen Jianhai Chen Qinming He AAML FedML 16 57 0 01 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 36 107 0 31 Mar 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 37 15 0 22 Mar 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 15 108 0 16 Mar 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 17 37 0 21 Feb 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection Yuxi Mi Yiheng Sun Jihong Guan Shuigeng Zhou AAML FedML 11 1 0 09 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 33 25 0 07 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 35 9 0 31 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
How to Backdoor HyperNetwork in Personalized Federated Learning? Phung Lai Nhathai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu AAML FedML 23 0 0 18 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 37 21 0 12 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 33 92 0 08 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 9 84 0 12 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 16 4 0 29 Nov 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 33 10 0 08 Nov 2021
Ensemble Federated Adversarial Training with Non-IID data Shuang Luo Didi Zhu Zexi Li Chao-Xiang Wu FedML 25 7 0 26 Oct 2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion Shijie Zhang Hongzhi Yin Tong Chen Zi Huang Quoc Viet Hung Nguyen Li-zhen Cui FedML AAML 14 96 0 21 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 27 28 0 14 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 29 26 0 07 Oct 2021
SecFL: Confidential Federated Learning using TEEs D. Quoc Christof Fetzer FedML 16 16 0 03 Oct 2021
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Md Tamjid Hossain Shafkat Islam S. Badsha Haoting Shen AAML 55 41 0 21 Sep 2021
An Operator Splitting View of Federated Learning Saber Malekmohammadi K. Shaloudegi Zeou Hu Yaoliang Yu FedML 26 2 0 12 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 27 37 0 05 Aug 2021
Secure and Privacy-Preserving Federated Learning via Co-Utility J. Domingo-Ferrer Alberto Blanco-Justicia Jesús Manjón David Sánchez FedML 16 37 0 04 Aug 2021