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CrowdGuard: Federated Backdoor Detection in Federated Learning

14 October 2022

Phillip Rieger

T. Krauß

Markus Miettinen

Alexandra Dmitrienko

Ahmad-Reza Sadeghi Technical University Darmstadt

AAML

FedML

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Papers citing "CrowdGuard: Federated Backdoor Detection in Federated Learning"

29 / 29 papers shown

Title
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 218 2 0 11 Mar 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 130 0 0 28 Jan 2025
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 58 20 0 25 Nov 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 84 794 0 12 Jun 2021
OpenFL: An open-source framework for Federated Learning G. A. Reina Alexey Gruzdev Patrick Foley O. Perepelkina Mansi Sharma ... Sarthak Pati Prakash Narayana Moorthy Shih-Han Wang Prashant Shah Spyridon Bakas FedML AIFin 96 111 0 13 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 108 246 0 29 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 278 815 0 15 Feb 2021
Provably Secure Federated Learning against Malicious Clients Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong FedML 74 136 0 03 Feb 2021
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 60 138 0 04 Nov 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 69 145 0 08 Sep 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 79 606 0 09 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 96 513 0 05 Jul 2020
CacheOut: Leaking Data on Intel CPUs via Cache Evictions S. V. Schaik Marina Minkin Andrew Kwong Daniel Genkin Y. Yarom 47 140 0 23 Jun 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 89 184 0 29 Dec 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 103 1,107 0 26 Nov 2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 76 63 0 14 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 143 1,150 0 13 Sep 2019
Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment Jianping Zhu Rui Hou Xiaofeng Wang Wenhao Wang Jiangfeng Cao ... Peinan Li Zhongpu Wang Boyan Zhao Lixin Zhang Dan Meng 18 15 0 09 Apr 2019
A new Backdoor Attack in CNNs by training set corruption without label poisoning Mauro Barni Kassem Kallas B. Tondi AAML 110 356 0 12 Feb 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 114 596 0 09 Nov 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT T. D. Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni Nadarajah Asokan A. Sadeghi 133 494 0 20 Apr 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 121 1,500 0 05 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,840 0 15 Dec 2017
DR.SGX: Hardening SGX Enclaves against Cache Attacks with Data Location Randomization Ferdinand Brasser Srdjan Capkun Alexandra Dmitrienko Tommaso Frassetto Kari Kostiainen A. Sadeghi AAML 48 103 0 28 Sep 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Software Grand Exposure: SGX Cache Attacks Are Practical Ferdinand Brasser Urs Müller Alexandra Dmitrienko Kari Kostiainen Srdjan Capkun A. Sadeghi AAML 90 609 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 138 1,899 0 08 Oct 2016