DeepSight: Mitigating Backdoor Attacks in Federated Learning Through
Deep Model Inspection

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

3 January 2022

Phillip Rieger

Markus Miettinen

Papers citing "DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection"

14 / 64 papers shown

Title
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 63 9 0 07 Mar 2023
Learning to Backdoor Federated Learning Henger Li Chen Wu Senchun Zhu Zizhan Zheng FedML 21 10 0 06 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 32 56 0 03 Mar 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 21 31 0 23 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 22 30 0 19 Jan 2023
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 27 27 0 14 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 14 21 0 14 Nov 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 22 22 0 14 Oct 2022
FLVoogd: Robust And Privacy Preserving Federated Learning Yuhang Tian Rui Wang Yan Qiao E. Panaousis K. Liang FedML 21 4 0 24 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors Guanhong Tao Yingqi Liu Shuyang Cheng Shengwei An Zhuo Zhang Qiuling Xu Guangyu Shen Xiangyu Zhang AAML 18 7 0 18 Jun 2022
CELEST: Federated Learning for Globally Coordinated Threat Detection Talha Ongun Simona Boboila Alina Oprea Tina Eliassi-Rad Jason Hiser Jack W. Davidson FedML 17 4 0 23 May 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning Harsh Chaudhari Matthew Jagielski Alina Oprea 28 7 0 20 May 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 31 25 0 07 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 33 9 0 31 Jan 2022