Marcus Botacin

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CS Assistant Professor at Texas A&M @TAMUEngineering; PhD @SECRET_UFPR
@UFPR; CE/CS Master @Unicamp_IC; Interested in #Malware Analysis & Reverse Engineering. More about me: marcusbotacin.github.io/
Another edition of my security course comes to an end. We moved from the ML-Based cyberdefense (https://marcusbotacin.github.io/teaching/ml-1) to the Data Analytics for CyberSecurity (https://marcusbotacin.github.io/teaching/data-analytics-1) umbrella, but the spirit of the course remains the same. Click to check what we achieved this semester!
CSCE 689: Machine Learning-Based CyberDefenses

In this course, we will navigate through the applications of ML in the security field: the pros, the cons, and the future yet to come.

Marcus Botacin
The video for my talk "Hardware is the New Software: The Next-Gen AntiViruses and how your hardware will self-secure your system!" is available at: https://www.youtube.com/watch?v=P3p--1csAws
Hardware is the New Software - Marcus Botacin

YouTube
2025-10-29 CERIAS - Malware Detection under Concept Drift: Science and Engineering

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WOOT '25 - Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted...

YouTube
My most recent talk at @HouSecCon "Hardware is the New Software: The Next-Gen AntiViruses and how your hardware will self-secure your system!" See the slides at https://marcusbotacin.github.io/talks/housec25
Hardware is the New Software: The Next-Gen AntiViruses and how your hardware will self-secure your system!

My talk about hardware AVs. Slides

Marcus Botacin
[New Paper] "Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms Typo Correction" https://usenix.org/conference/woot25/presentation/ayati We published this week at @wootsecurity
[New Paper] "Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines" - https://marcusbotacin.github.io/publication/2025-07-1-paper-drift-dimva-40
Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines

My student paper about explaining concept drift events and anticipating retraining points in malware detection pipelines.

Marcus Botacin
[SW Security] Random Number Generators: Demo

YouTube