Detecting Adversarial Attacks on Neural Network Policies with Visual
Foresight

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

2 October 2017

Papers citing "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"

14 / 14 papers shown

Title
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 26 1 0 24 Apr 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
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 46 2 0 10 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning Tom Hickling Nabil Aouf P. Spencer AAML 17 49 0 06 Jun 2022
Attacking and Defending Deep Reinforcement Learning Policies Chao Wang AAML 30 2 0 16 May 2022
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 22 3 0 08 Nov 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 34 132 0 14 Feb 2021
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary S. Sarkar AAML 33 5 0 28 Jun 2019
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang S. Sarkar AAML 8 43 0 16 Jul 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 323 47 1 31 May 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 288 3,110 0 04 Nov 2016