Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers

14 June 2021

Papers citing "Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers"

14 / 14 papers shown

Title
Investigating the Treacherous Turn in Deep Reinforcement Learning C. Ashcraft Kiran Karra Josh Carney Nathan G. Drenkow 21 1 0 11 Apr 2025
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments Jianhui Li Bokang Zhang Junfeng Wu AAML OffRL OnRL 98 1 0 01 Dec 2024
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning Yinbo Yu Saihao Yan Jiajia Liu AAML 25 1 0 12 Sep 2024
Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space Sanyam Vyas Chris Hicks V. Mavroudis AAML 36 0 0 21 Jul 2024
The last Dance : Robust backdoor attack via diffusion models and bayesian approach Orson Mengara DiffM 37 4 0 05 Feb 2024
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 Feb 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Yinbo Yu Jiajia Liu 18 1 0 22 Nov 2022
Backdoor Attacks on Multiagent Collaborative Systems Shuo Chen Yue Qiu Jie Zhang AAML 30 3 0 21 Nov 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 21 7 0 07 Oct 2022
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning Yinbo Yu Jiajia Liu Shouqing Li Ke Huang Xudong Feng AAML 39 11 0 05 May 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 22 116 0 04 May 2022
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 586 0 17 Jul 2020