Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning

23 October 2019

Papers citing "Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning"

27 / 27 papers shown

Title
Backdoor Attacks and Defenses on Semantic-Symbol Reconstruction in Semantic Communications Yuan-hua Zhou R. Hu Yi Qian AAML 35 3 0 20 Apr 2024
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning Y. Sagduyu AAML 46 2 0 22 Dec 2022
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks Y. Sagduyu T. Erpek S. Ulukus Aylin Yener AAML 66 13 0 21 Dec 2022
BadRes: Reveal the Backdoors through Residual Connection Min He Tianyu Chen Haoyi Zhou Shanghang Zhang Jianxin Li 57 1 0 15 Sep 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 100 16 0 04 Jul 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training B. Manoj Meysam Sadeghi Erik G. Larsson AAML 55 11 0 14 Jun 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 76 26 0 15 Feb 2022
Jamming Attacks on Federated Learning in Wireless Networks Yi Shi Y. Sagduyu 93 12 0 13 Jan 2022
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces Brian Kim T. Erpek Y. Sagduyu S. Ulukus AAML 64 13 0 21 Dec 2021
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 83 27 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 74 17 0 22 Jul 2021
SGBA: A Stealthy Scapegoat Backdoor Attack against Deep Neural Networks Yingzhe He Zhili Shen Chang Xia Jingyu Hua Wei Tong Sheng Zhong AAML 26 7 0 02 Apr 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond Brian Kim Y. Sagduyu T. Erpek S. Ulukus AAML 78 23 0 25 Mar 2021
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network B. Manoj Meysam Sadeghi Erik G. Larsson AAML 65 23 0 28 Jan 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing Yi Shi Y. Sagduyu AAML AI4CE 106 30 0 21 Jan 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 115 157 0 14 Dec 2020
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 64 20 0 03 Dec 2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 82 30 0 31 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 127 233 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 167 614 0 17 Jul 2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 51 29 0 15 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 89 119 0 11 May 2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 118 70 0 05 Feb 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 69 39 0 24 Jan 2020
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks Yansong Gao Yeonjae Kim Bao Gia Doan Zhi-Li Zhang Gongxuan Zhang Surya Nepal Damith C. Ranasinghe Hyoungshick Kim AAML 74 91 0 23 Nov 2019
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing Z. Luo Shangqing Zhao Zhuo Lu Jie Xu Y. Sagduyu AAML 74 53 0 04 May 2019