Malware

Momentum

11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 88

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  1. Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications

    May 17, 2026S. Tazili, A. Mansour, M. Y. ChkouriIntrusion DetectionCybersecurity

  2. MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining

    May 11, 2026Gayan K. Kulatilleke, Siamak Layeghy, Mahsa Baktashmotlagh +1Mamba-Based ModelsMalware

  3. FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis

    May 10, 2026Zahra Asadi, Haeseung Jeon, Sohyun Han +3MalwareReplay-Based Continual Learning

  4. Diagnosing and Mitigating Domain Shift in Permission-Based Android Malware Detection

    May 9, 2026Md Rafid IslamMitigating Domain ShiftMalware

  5. Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE

    May 7, 2026Riyazuddin Mohammed, Lan ZhangMalwareMalicious Agents

  6. McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware

    May 7, 2026Md Mahmuduzzaman Kamol, Jesus Lopez, Saeefa Rubaiyet Nowmi +5MalwareMultimodal Learning

  7. LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

    May 7, 2026Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan +1MalwareProgram Analysis

  8. TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification

    May 7, 2026Parthajit Borah, Upasana Sarmah, D. K. Bhattacharyya +1MalwareVisual Analytics

  9. Gray-Box Poisoning of Continuous Malware Ingestion Pipelines

    May 6, 2026Jan Dolejš, Martin Jureček, Róbert LórenczMalwarePoisoning

  10. Trident: Improving Malware Detection with LLMs and Behavioral Features

    Apr 30, 2026Rebecca Saul, Jingzhi Jiang, Elliott Chia +1MalwareProgram Analysis

  11. SeqShield: A Behavioral Analysis Approach to Uncover Rootkits

    Apr 26, 2026Paras Ghodeshwar, Sandeep K Shukla, Anand Handa +1MalwareDetection Performance

  12. Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset

    Apr 24, 2026Annan Fu, Hao Pei, Maryam TanhaMalwareSelf-Supervised Learning

  13. Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations

    Apr 24, 2026Lukáš Hrdonka, Martin JurečekMalware

  14. Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

    Apr 24, 2026Tomáš Kalný, Martin Jureček, Mark StampMalwareFeature Importance

  15. Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective

    Apr 24, 2026Olha Jurečková, Martin Jureček, Matouš Kozák +1MalwareModel-Agnostic Defense

  16. Generating Synthetic Malware Samples Using Generative AI

    Apr 23, 2026Tiffany Bao, Kylie Trousil, Quang Duy Tran +2MalwareObfuscation

  17. Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks

    Apr 22, 2026Nandakrishna Giri, Asmitha K. A., Serena Nicolazzo +2MalwareEvasion

  18. Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories

    Apr 19, 2026Ivan Bercovich, Ivgeni Segal, Kexun Zhang +3ExploitationMalware

  19. AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

    Mar 16, 2026Yihao Zhang, Zeming Wei, Xiaokun Luan +7Multi-Llm AgentsLarge Language Model Agents

  20. Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing

    Mar 3, 2026Adam Dorian Wong, John D. HastingsPhishingMalware

  21. SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity

    Feb 9, 2026Shae McFadden, Myles Foley, Elizabeth Bates +5CybersecurityMalware

  22. TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion

    Jan 23, 2026Saideep Sreekumar, Zeng Wang, Akashdeep Saha +6HoneypotsMalware

  23. SpecDetect4ML: Detecting Non-Local ML Code Smells with Code Property Graphs

    Sep 24, 2025Brahim Mahmoudi, Naouel Moha, Quentin Stiévenart +1Program AnalysisCode Quality

  24. Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark

    Aug 8, 2025Ngoc N. Tran, Anwar Said, Waseem Abbas +2MalwareOut-Of-Distribution Detection

  25. MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems

    Apr 23, 2025Mohaiminul Al Nahian, Zainab Altaweel, David Reitano +3Classical PlanningMalware

  26. Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection

    Mar 14, 2025Tianwei Lan, Luca Demetrio, Farid Nait-Abdesselam +2MalwareAI Trustworthiness

  27. TIF: Learning Temporal Invariance in Android Malware Detectors

    Feb 7, 2025Xinran Zheng, Shuo Yang, Edith C. H. Ngai +2MalwareEquivariant Learning