Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control

12 May 2021

Papers citing "Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control"

22 / 22 papers shown

Title
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 40 8 0 12 Jul 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 57 39 0 24 Jan 2020
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 62 83 0 01 Nov 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 66 28 0 06 Sep 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 64 70 0 21 Jul 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 83 360 0 25 May 2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction Yunhan Jia Yantao Lu Senem Velipasalar Zhenyu Zhong Tao Wei AAML 69 11 0 08 May 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 88 851 0 05 Apr 2019
Adversarial Attacks on Deep Neural Networks for Time Series Classification Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AAML 62 135 0 17 Mar 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 149 2,559 0 24 Jan 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 84 81 0 04 Dec 2018
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks Yasar Sinan Nasir Dongning Guo 46 468 0 01 Aug 2018
Deep Learning for Launching and Mitigating Wireless Jamming Attacks T. Erpek Y. Sagduyu Yi Shi AAML 43 192 0 03 Jul 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Deep Reinforcement Learning framework for Autonomous Driving Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 92 972 0 08 Apr 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 94 416 0 08 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 102 838 0 08 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,148 0 04 Nov 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 116 1,482 0 03 Oct 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,768 0 20 Nov 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,685 0 23 Jul 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014