Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

26 January 2018

Papers citing "Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning"

23 / 23 papers shown

Title
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response Dipo Dunsin M. C. Ghanem Karim Ouazzane Vassil T. Vassilev 44 5 0 08 Jan 2025
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 32 0 0 20 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 36 0 0 04 May 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 72 0 0 20 Dec 2023
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 28 6 0 05 Dec 2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants Junjie Hu Mohammadreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen AAML 21 2 0 25 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
Fast & Furious: Modelling Malware Detection as Evolving Data Streams Fabrício Ceschin Marcus Botacin Heitor Murilo Gomes Felipe Pinagé Luiz S. Oliveira André Grégio AAML 9 17 0 24 May 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 25 10 0 13 Apr 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 21 5 0 15 Feb 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 29 16 0 07 Feb 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 34 73 0 23 Dec 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach Junjie Hu Mohammadreza Ebrahimi Hsinchun Chen AAML 18 11 0 03 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 33 2 0 22 Nov 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 38 51 0 07 Oct 2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 25 21 0 26 Aug 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 33 81 0 30 Jun 2021
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 39 14 0 06 Nov 2020
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability Ishai Rosenberg Shai Meir J. Berrebi I. Gordon Guillaume Sicard Eli David AAML SILM 11 25 0 28 Sep 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Risto Miikkulainen AAML 22 15 0 09 Feb 2020
WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning Luca Demetrio Andrea Valenza Gabriele Costa Giovanni Lagorio AAML 18 27 0 07 Jan 2020
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 23 188 0 18 Oct 2018
Applications of Graph Integration to Function Comparison and Malware Classification M. Slawinski Andy Wortman 9 2 0 11 Oct 2018