Dynamic backdoor attacks against federated learning

15 November 2020

Papers citing "Dynamic backdoor attacks against federated learning"

11 / 11 papers shown

Title
Poisoning Attacks on Federated Learning for Autonomous Driving Sonakshi Garg Hugo Jönsson Gustav Kalander Axel Nilsson Bhhaanu Pirange Viktor Valadi Johan Östman AAML 19 1 0 02 May 2024
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection Mohammed Lansari R. Bellafqira K. Kapusta V. Thouvenot Olivier Bettan G. Coatrieux FedML 23 15 0 07 Aug 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 19 14 0 20 Apr 2023
Efficient and Secure Federated Learning for Financial Applications Tao Liu Zhi Wang Hui He Wei Shi Liangliang Lin Wei Shi Ran An Chenhao Li FedML 14 18 0 15 Mar 2023
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 24 6 0 07 Mar 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 24 7 0 28 Jan 2022
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 42 11 0 10 Dec 2021
Widen The Backdoor To Let More Attackers In Siddhartha Datta Giulio Lovisotto Ivan Martinovic N. Shadbolt AAML 8 3 0 09 Oct 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 239 31,257 0 16 Jan 2013