DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning

21 September 2021

Papers citing "DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning"

20 / 20 papers shown

Title
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks M. S. HaghighiFard Sinem Coleri AAML 33 0 0 02 May 2025
Practical Implications of Implementing Local Differential Privacy for Smart grids Khadija Hafeez M. H. Rehmani Sumita Mishra Donna O'Shea 39 0 0 14 Mar 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 43 2 0 08 Feb 2025
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 35 2 0 02 Oct 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 41 3 0 20 Jul 2024
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection M. S. HaghighiFard Sinem Coleri AAML 42 0 0 25 May 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning Kai Li Xinnan Yuan Jingjing Zheng Wei Ni Falko Dressler Abbas Jamalipour AAML FedML 30 5 0 23 Apr 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 33 8 0 03 Oct 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 16 0 0 01 Jul 2023
Network-Level Adversaries in Federated Learning Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 20 17 0 27 Aug 2022
A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid Shafkat Islam Ioannis Zografopoulos Md Tamjid Hossain S. Badsha Charalambos Konstantinou 22 6 0 06 Jun 2022
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures Md Tamjid Hossain S. Badsha Hung M. La Haoting Shen Shafkat Islam Ibrahim Khalil X. Yi AAML 19 3 0 06 Apr 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 34 212 0 20 Jan 2022
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems Arpan Bhattacharjee S. Badsha Md Tamjid Hossain Charalambos Konstantinou Xueping Liang 24 3 0 28 Oct 2021
Privacy, Security, and Utility Analysis of Differentially Private CPES Data Md Tamjid Hossain S. Badsha Haoting Shen 35 10 0 21 Sep 2021
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning Rasheed el-Bouri T. Zhu David A. Clifton FedML OOD 14 1 0 04 Jul 2021
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 13 0 0 23 Nov 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 8 36 0 29 Jul 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018