SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

14 December 2020

Papers citing "SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection"

32 / 32 papers shown

Title
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 21 0 0 16 May 2025
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering Hamed Jelodar Samita Bai Parisa Hamedi Hesamodin Mohammadian R. Razavi-Far Ali Ghorbani 46 1 0 07 Apr 2025
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 81 2 0 14 Feb 2025
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
SoK: Leveraging Transformers for Malware Analysis Pradip Kunwar Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Elisa Bertino 90 0 0 27 May 2024
Assemblage: Automatic Binary Dataset Construction for Machine Learning Chang Liu Rebecca Saul Yihao Sun Edward Raff Maya Fuchs Townsend Southard Pantano James Holt Kristopher K. Micinski 37 3 0 07 May 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 38 1 0 29 Apr 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free Bao Gia Doan Dang Quang Nguyen Paul Montague Tamas Abraham O. Vel S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe AAML 43 1 0 27 Mar 2024
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! Tirth Patel Fred Lu Edward Raff Charles K. Nicholas Cynthia Matuszek James Holt 37 3 0 25 Dec 2023
Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection B. Pratomo Toby Jackson Pete Burnap Andrew Hood Eirini Anthi 17 0 0 27 Oct 2023
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers R. Joyce Edward Raff Charles K. Nicholas James Holt 28 1 0 18 Oct 2023
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning M. Rigaki Sebastian Garcia AAML 24 4 0 31 Aug 2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora R. Joyce Tirth Patel Charles K. Nicholas Edward Raff 25 4 0 09 Jun 2023
A Survey on Cross-Architectural IoT Malware Threat Hunting Anandharaju Durai Raju I. Abualhaol Ronnie Salvador Giagone Yang Zhou Shengqiang Huang 26 34 0 09 Jun 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan Shuiqiao Yang Paul Montague O. Vel Tamas Abraham S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe OOD AAML 42 7 0 30 Jan 2023
Knowledge-Based Dataset for Training PE Malware Detection Models Peter vSvec vStefan Balogh Martin Homola Ján Kvluka 37 6 0 31 Dec 2022
Use of Cryptography in Malware Obfuscation Hassan Jameel Asghar Benjamin Zi Hao Zhao Muhammad Ikram Giang Nguyen Dali Kaafar Sean Lamont Daniel Coscia 8 9 0 07 Dec 2022
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 38 6 0 05 Dec 2022
Class-wise and reduced calibration methods Michael Panchenko Anes Benmerzoug Miguel de Benito Delgado 23 0 0 07 Oct 2022
Avast-CTU Public CAPE Dataset B. Bosanský Dominik Kouba Ondrej Manhal Thorsten Sick Viliam Lisý J. Kroustek P. Somol 75 5 0 06 Sep 2022
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese Pavel Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 45 132 0 20 Jun 2022
On the impact of dataset size and class imbalance in evaluating machine-learning-based windows malware detection techniques David Illes 6 3 0 13 Jun 2022
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection Michael D. Wong Edward Raff James Holt Ravi Netravali 31 2 0 07 Jun 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 25 10 0 13 Apr 2022
MERLIN -- Malware Evasion with Reinforcement LearnINg Tony Quertier Benjamin Marais Stephane Morucci Bertrand Fournel AAML 19 17 0 24 Mar 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 28 36 0 11 Feb 2022
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels R. Joyce Dev Amlani B. Hamilton Edward Raff 49 21 0 29 Nov 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 36 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 49 15 0 19 Nov 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 278 0 28 Sep 2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 41 21 0 09 Aug 2021