{"total":24,"rows":[{"id":"2111.15031","title":"MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels","created":"2021-11-29","cited_by_count":17,"area":null},{"id":"2302.01757","title":"RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion","created":"2023-01-31","cited_by_count":17,"area":null},{"id":"2305.19534","title":"Recasting Self-Attention with Holographic Reduced Representations","created":"2023-05-31","cited_by_count":14,"area":null},{"id":"2501.01110","title":"MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification","created":"2025-01-02","cited_by_count":8,"area":null},{"id":"2403.17978","title":"Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection","created":"2024-03-23","cited_by_count":6,"area":null},{"id":"2410.22677","title":"Is Function Similarity Over-Engineered? Building a Benchmark","created":"2024-10-30","cited_by_count":6,"area":null},{"id":"2410.24017","title":"Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems","created":"2024-10-31","cited_by_count":5,"area":null},{"id":"2312.15813","title":"Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!","created":"2023-12-25","cited_by_count":4,"area":null},{"id":"2106.07860","title":"Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery","created":"2021-06-15","cited_by_count":2,"area":null},{"id":"2606.28929","title":"Cybersecurity is the True Frontier for Generative AI Success or Failure","created":"2026-06-27","cited_by_count":2,"area":null},{"id":"2203.07561","title":"Toward the Detection of Polyglot Files","created":"2022-03-14","cited_by_count":1,"area":null},{"id":"2205.03850","title":"SeqNet: An Efficient Neural Network for Automatic Malware Detection","created":"2022-05-08","cited_by_count":1,"area":null},{"id":"2405.03009","title":"Explainable Malware Detection with Tailored Logic Explained Networks","created":"2024-05-05","cited_by_count":1,"area":null},{"id":"2412.11177","title":"A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer","created":"2024-12-15","cited_by_count":1,"area":null},{"id":"2111.11487","title":"A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries","created":"2021-11-22","cited_by_count":0,"area":null},{"id":"2305.12770","title":"FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2405.00392","title":"Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing","created":"2024-05-01","cited_by_count":0,"area":null},{"id":"2410.04633","title":"A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2605.21615","title":"ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.02834","title":"Large Byte Model: Teaching Language Models About Compiled Code","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.17398","title":"SoK: AI-Augmented Binary Reversing","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2609.19900","title":"Delphi Scanner: efficient and interpretable static malware detection via API sequence modeling","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.21306","title":"Fast And Accurate Text Content File Type Identification","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2610.18787","title":"Bytes to Threats: Byte-Sequence Transformer For Malware Detection","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}