Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

9 January 2018

Papers citing "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

22 / 22 papers shown

Title
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 26 0 0 20 May 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 40 3 0 21 Feb 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 54 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 32 15 0 31 Jan 2023
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 18 5 0 15 Feb 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation Zhen Li Guenevere Chen Chen Chen Chen Yayi Zou Shouhuai Xu AAML AI4TS 16 44 0 12 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
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 33 14 0 06 Nov 2020
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Rana Abou-Khamis Ashraf Matrawy AAML 33 46 0 08 Jul 2020
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 26 68 0 06 Nov 2019
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization Rana Abou-Khamis Omair Shafiq Ashraf Matrawy AAML 8 40 0 30 Oct 2019
An MDL-Based Classifier for Transactional Datasets with Application in Malware Detection B. Asadi Vijay Varadharajan 11 2 0 09 Oct 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection Aminollah Khormali Ahmed A. Abusnaina Songqing Chen Daehun Nyang Aziz Mohaisen AAML 26 28 0 20 Sep 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 24 57 0 21 Jan 2019
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 21 188 0 18 Oct 2018
AST-Based Deep Learning for Detecting Malicious PowerShell Gili Rusak Abdullah Al-Dujaili Una-May O’Reilly 15 41 0 03 Oct 2018
On Visual Hallmarks of Robustness to Adversarial Malware Alex Huang Abdullah Al-Dujaili Erik Hemberg Una-May O’Reilly AAML 25 7 0 09 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar A. Madry OOD AAML 23 784 0 30 Apr 2018
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables Bojan Kolosnjaji Ambra Demontis Battista Biggio Davide Maiorca Giorgio Giacinto Claudia Eckert Fabio Roli AAML 16 316 0 12 Mar 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David E. Evans P. Roth AAML 22 207 0 26 Jan 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016