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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.