Malware Detection by Eating a Whole EXE

25 October 2017

Papers citing "Malware Detection by Eating a Whole EXE"

50 / 52 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
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
SoK: Leveraging Transformers for Malware Analysis Pradip Kunwar Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Elisa Bertino 90 0 0 27 May 2024
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Luca Demetrio Battista Biggio Ivan Tesfai Ogbu Fabio Roli 49 0 0 23 May 2024
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
Layered Uploading for Quantum Convolutional Neural Networks Grégoire Barrué Tony Quertier Orlane Zang 92 0 0 15 Apr 2024
High-resolution Image-based Malware Classification using Multiple Instance Learning Tim Peters H. Farhat 14 0 0 21 Nov 2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 19 23 0 27 Jul 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 26 8 0 31 May 2023
Feature Engineering Using File Layout for Malware Detection Jeongwoo Kim Eun-Sun Cho Joon-Young Paik 16 1 0 05 Apr 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
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
Machine Learning for Detecting Malware in PE Files Collin Connors Dilip Sarkar 14 6 0 12 Dec 2022
Simulation of Attacker Defender Interaction in a Noisy Security Game Erick Galinkin Emmanouil Pountourakis John Carter Spiros Mancoridis AAML 23 2 0 08 Dec 2022
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 24 5 0 05 Dec 2022
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning Sangdon Park Xiang Cheng Taesoo Kim 35 1 0 31 Oct 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
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks Neophytos Christou Di Jin Vaggelis Atlidakis Baishakhi Ray V. Kemerlis 29 13 0 29 Sep 2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing J. Troncoso-Pastoriza Alain Mermoud Romain Bouyé Francesco Marino Jean-Philippe Bossuat Vincent Lenders Jean-Pierre Hubaux 32 3 0 06 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 32 148 0 31 Aug 2022
Combining AI and AM - Improving Approximate Matching through Transformer Networks Frieder Uhlig Lukas Struppek Dominik Hintersdorf Thomas Gobel Harald Baier Kristian Kersting 21 7 0 24 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification Daniel Gibert Carles Mateu Jordi Planes Quan Le AAML 32 48 0 12 Jun 2022
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection Michael D. Wong Edward Raff James Holt Ravi Netravali 29 2 0 07 Jun 2022
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection Niall McLaughlin 30 2 0 12 Apr 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
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 36 21 0 09 Aug 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Luca Demetrio Battista Biggio AAML 37 11 0 26 Apr 2021
PalmTree: Learning an Assembly Language Model for Instruction Embedding Xuezixiang Li Qu Yu Heng Yin 24 144 0 21 Jan 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
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View Erick Galinkin AAML 15 0 0 16 Sep 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
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 27 54 0 15 Jun 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
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 29 18 0 02 Mar 2020
How to 0wn NAS in Your Spare Time Sanghyun Hong Michael Davinroy Yigitcan Kaya Dana Dachman-Soled Tudor Dumitras 25 36 0 17 Feb 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Risto Miikkulainen AAML 25 15 0 09 Feb 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
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 29 68 0 06 Nov 2019
Neurlux: Dynamic Malware Analysis Without Feature Engineering Chani Jindal Christopher Salls H. Aghakhani Keith Long Christopher Kruegel Giovanni Vigna 11 62 0 24 Oct 2019
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection Jack W. Stokes Rakshit Agrawal Geoff McDonald Matthew J. Hausknecht 13 11 0 01 Apr 2019
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries Luca Demetrio Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 24 129 0 11 Jan 2019
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 26 188 0 18 Oct 2018
Deep learning at the shallow end: Malware classification for non-domain experts Quan Le Oisín Boydell Brian Mac Namee Mark Scanlon 78 172 0 22 Jul 2018