Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

11 January 2019

Battista Biggio

Fabio Roli

Papers citing "Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries"

49 / 49 papers shown

Title
On the Robustness of Malware Detectors to Adversarial Samples Muhammad Salman B. Zhao Hassan Jameel Asghar Muhammad Ikram Sidharth Kaushik M. Kâafar AAML 36 0 0 05 Aug 2024
Explainability-Informed Targeted Malware Misclassification Quincy Card Kshitiz Aryal Maanak Gupta AAML 24 1 0 07 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
Explainability Guided Adversarial Evasion Attacks on Malware Detectors Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Moustafa Saleh AAML 24 4 0 02 May 2024
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Luca Demetrio Giulio Zizzo Quan Le Jordi Planes Battista Biggio AAML 44 2 0 01 May 2024
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Moustafa Saleh AAML 28 7 0 11 Mar 2024
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Giulio Zizzo Quan Le Jordi Planes AAML 36 4 0 23 Feb 2024
A Comparison of Adversarial Learning Techniques for Malware Detection Pavla Louthánová M. Kozák M. Jureček Mark Stamp AAML 27 2 0 19 Aug 2023
Creating Valid Adversarial Examples of Malware M. Kozák M. Jureček Mark Stamp Fabio Di Troia AAML 15 8 0 23 Jun 2023
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign Kunkun Li Fan Zhang Wei Guo AAML 17 4 0 22 May 2023
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate M. Kozák M. Jureček AAML 11 1 0 14 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha Wenxiao Wang Yigitcan Kaya S. Feizi Tudor Dumitras AAML 11 1 0 20 Mar 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
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 20 18 0 03 Jan 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 24 5 0 05 Dec 2022
Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation Abhilash Chakraborty A. Biswas Ajoy Kumar Khan 8 20 0 27 Sep 2022
Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection Ruijin Sun Shize Guo Jinhong Guo Changyou Xing Luming Yang Xi Guo Zhisong Pan AAML 31 1 0 06 Sep 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
On deceiving malware classification with section injection Adeilson Antonio da Silva Maurício Pamplona Segundo 28 4 0 12 Aug 2022
MERLIN -- Malware Evasion with Reinforcement LearnINg Tony Quertier Benjamin Marais Stephane Morucci Bertrand Fournel AAML 11 17 0 24 Mar 2022
Toward the Detection of Polyglot Files Luke Koch Sean Oesch M. Adkisson Samantha Erwin Brian Weber Amul Chaulagain 11 6 0 14 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 21 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 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
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning Daniel Gibert Matt Fredrikson Carles Mateu Jordi Planes Quan Le 24 10 0 18 Nov 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 34 49 0 16 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
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 17 10 0 30 Jun 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Luca Demetrio Battista Biggio AAML 37 11 0 26 Apr 2021
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection Edward Raff William Fleshman Richard Zak Hyrum S. Anderson Bobby Filar Mark McLean AAML 10 54 0 17 Dec 2020
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model Mohammadreza Ebrahimi Ning Zhang Junjie Hu M. T. Raza Hsinchun Chen AAML 17 28 0 14 Dec 2020
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 27 142 0 14 Dec 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 39 14 0 06 Nov 2020
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors Edward Raff Bobby Filar James Holt 46 7 0 22 Oct 2020
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 30 59 0 17 Aug 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 16 52 0 24 May 2020
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security Michael R. Smith Nicholas T. Johnson J. Ingram A. Carbajal Ramyaa Evelyn Domschot Christopher C. Lamb Stephen J Verzi W. Kegelmeyer AAML 11 4 0 04 May 2020
Functionality-preserving Black-box Optimization of Adversarial Windows Malware Luca Demetrio Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 23 136 0 30 Mar 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 48 27 0 06 Mar 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
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 66 0 19 Dec 2019
Would a File by Any Other Name Seem as Malicious? A. Nguyen Edward Raff Aaron Sant-Miller AAML 11 7 0 10 Oct 2019
Malware Evasion Attack and Defense Yonghong Huang Utkarsh Verma Celeste Fralick G. Infante-Lopez B. Kumar Carl Woodward AAML 18 16 0 07 Apr 2019
Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification Scott E. Coull Christopher Gardner 14 50 0 12 Mar 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks Abdullah Al-Dujaili Una-May O’Reilly AAML 21 20 0 19 Feb 2019
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks Davide Maiorca Battista Biggio Giorgio Giacinto AAML 17 47 0 02 Nov 2018
Applications of Graph Integration to Function Comparison and Malware Classification M. Slawinski Andy Wortman 9 2 0 11 Oct 2018