Functionality-preserving Black-box Optimization of Adversarial Windows
Malware

Functionality-preserving Black-box Optimization of Adversarial Windows Malware

30 March 2020

Battista Biggio

Giovanni Lagorio

Fabio Roli

Papers citing "Functionality-preserving Black-box Optimization of Adversarial Windows Malware"

18 / 18 papers shown

Title
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Luca Demetrio Battista Biggio Ivan Tesfai Ogbu Fabio Roli 41 0 0 23 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 29 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
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 51 18 0 22 Feb 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 24 15 0 31 Jan 2023
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants J. Hu Mohammadreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen AAML 13 2 0 25 Oct 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification Daniel Gibert Carles Mateu Jordi Planes Quan Le AAML 25 48 0 12 Jun 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 20 10 0 13 Apr 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 16 5 0 15 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 28 72 0 23 Dec 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach J. Hu Mohammadreza Ebrahimi Hsinchun Chen AAML 14 11 0 03 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 28 2 0 22 Nov 2021
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors Ruoxi Sun Minhui Xue Gareth Tyson Tian Dong Shaofeng Li Shuo Wang Haojin Zhu S. Çamtepe Surya Nepal AAML 41 15 0 19 Nov 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 30 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 22 21 0 26 Aug 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Luca Demetrio Battista Biggio AAML 35 11 0 26 Apr 2021
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? Antonio Emanuele Cinà Sebastiano Vascon Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 19 9 0 23 Mar 2021
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection Luca Demetrio Scott E. Coull Battista Biggio Giovanni Lagorio A. Armando Fabio Roli AAML 19 59 0 17 Aug 2020