Newsroom
News¶
Papers, talks, and people joining or leaving the lab.
2026-09-16
Prof. Botacin presents You Can See Me but You Can't Track Me: Evading Behavioral Detection with Distributed Malware and Covert Synchronization Channels at CYBR.SEC.CON.
2026-08-04
Invited seminar at George Mason University (ECE): Malware Analysis & Detection Research: A Journey Across Time, Space, Hardware, and Software.
2026
AutoPYara is accepted at ACSAC 2026. The Python package, Java backend, reproducibility artifact and evaluation data are public.
2026-05
When GANs meet LLMs (Dondapati et al.) is published in ACM Transactions on AI Security and Privacy, with source code released.
2025-10-29
Invited talk at the CERIAS seminar, Purdue: Malware Detection under Concept Drift: Science and Engineering.
2025-09-30
Prof. Botacin presents Hardware is the New Software: The Next-Gen AntiViruses and how your hardware will self-secure your system! at Houston Security Conference.
2025-08
Seyyed Ali Ayati's paper on acoustic side-channel attacks on noisy keyboards appears at USENIX WOOT 2025.
2025-07
Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines (Tripathi, Gomes, Botacin) appears at DIMVA 2025.
2025-03-11
Texas A&M Engineering features Prof. Botacin's new $150,000 project to build a small, security-focused LLM that writes malware detection rules: "ChatGPT" for Computer Security.
2025 Spring
Nhat Nguyen graduates with an MSc thesis on AutoPYara. Uros Stanic joins as a PhD student, and Giorgia di Pietro (Sapienza University of Rome) visits the lab.
2024 Fall
Mabon Ninan and Eden Garza join the lab as PhD students.
2024-09-23
GPThreats: Fully-automated AI-generated malware and its security risks at Houston Security Conference.