ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems

12 March 2020

Papers citing "ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems"

20 / 20 papers shown

Title
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection Shigang Liu Di Cao Junae Kim Tamas Abraham Paul Montague S. Çamtepe Jun Zhang Yang Xiang AAML 29 1 0 27 Jul 2024
Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation Jiangnan Li Yingyuan Yang Jinyuan Stella Sun 57 4 0 10 May 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection Jiwei Tian Chao Shen Buhong Wang Xiaofang Xia Meng Zhang Chenhao Lin Qian Li 38 36 0 29 Jan 2024
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review Zhenyong Zhang Mengxiang Liu Mingyang Sun Ruilong Deng Peng Cheng Dusit Niyato Mo-Yuen Chow Jiming Chen 38 38 0 30 Aug 2023
Adversarial Attacks on Leakage Detectors in Water Distribution Networks Paul Stahlhofen André Artelt L. Hermes Barbara Hammer AAML 18 2 0 25 May 2023
The Case for the Anonymization of Offloaded Computation Md Washik Al Azad Shifat Sarwar Sifat Ut Taki Spyridon Mastorakis 14 0 0 12 May 2023
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 12 0 20 Apr 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 14 16 0 07 Feb 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space Thibault Simonetto Salijona Dyrmishi Salah Ghamizi Maxime Cordy Yves Le Traon AAML 19 21 0 02 Dec 2021
A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems Moein Sabounchi Jin Wei-Kocsis AAML 14 1 0 13 Sep 2021
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles Ziyuan Zhong Gail E. Kaiser Baishakhi Ray 18 70 0 13 Sep 2021
Learning-Based Vulnerability Analysis of Cyber-Physical Systems Amir Khazraei S. Hallyburton Qitong Gao Yu Wang Miroslav Pajic AAML 8 17 0 10 Mar 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 31 14 0 17 Feb 2021
Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning A. Bozkurt Yu Wang Miroslav Pajic 6 15 0 03 Nov 2020
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks Jiangnan Li Yingyuan Yang Jinyuan Stella Sun AAML 15 7 0 16 Oct 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 26 12 0 05 Jul 2020
SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection Jiangnan Li Yingyuan Yang Jinyuan Stella Sun AAML 17 19 0 02 Jun 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014