Adaptive Discounting of Training Time Attacks

Adaptive Discounting of Training Time Attacks

5 January 2024

Abhay M. S. Aradhya

Zinovi Rabinovich

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Papers citing "Adaptive Discounting of Training Time Attacks"

18 / 18 papers shown

Title
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 68 4 0 12 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 79 16 0 20 Nov 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 73 19 0 30 Jun 2022
Intelligent Autonomous Intersection Management Udesh Gunarathna S. Karunasekera Renata Borovica-Gajic E. Tanin 57 3 0 09 Feb 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 203 102 0 06 Oct 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 75 37 0 16 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 85 27 0 10 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 104 168 0 21 Jan 2021
Performative Prediction in a Stateful World Gavin Brown Shlomi Hod Iden Kalemaj 96 84 0 08 Nov 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 94 160 0 08 Oct 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 108 52 0 02 Sep 2020
Stochastic Optimization for Performative Prediction Celestine Mendler-Dünner Juan C. Perdomo Tijana Zrnic Moritz Hardt 49 115 0 12 Jun 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 48 117 0 14 May 2020
Delving into adversarial attacks on deep policies Jernej Kos Basel Alomair AAML 72 228 0 18 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 267 2,976 0 20 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 102 840 0 08 Feb 2017
Unifying task specification in reinforcement learning Martha White OffRL 74 90 0 07 Sep 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,295 0 09 Sep 2015