Sequential Attacks on Agents for Long-Term Adversarial Goals

Sequential Attacks on Agents for Long-Term Adversarial Goals

31 May 2018

Mario Fritz

Papers citing "Sequential Attacks on Agents for Long-Term Adversarial Goals"

15 / 15 papers shown

Title
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 63 0 0 06 Jun 2024
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 32 5 0 11 Jan 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
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 30 1 0 19 Sep 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
Deep-Attack over the Deep Reinforcement Learning Yang Li Quanbiao Pan Min Zhang AAML 19 13 0 02 May 2022
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
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 32 26 0 10 Feb 2021
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 9 120 0 28 Mar 2020
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary S. Sarkar AAML 33 5 0 28 Jun 2019
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Hosnieh Sattar Katharina Krombholz Gerard Pons-Moll Mario Fritz 3DH 25 3 0 27 May 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016