Marcus Botacin

[Big News] I started as CS Assistant Professor @ Texas A&M @TAMUEngineering I'm looking for new collaborators and new students to keep researching malware and systems security. Get in touch! engineering.tamu.edu/cse/profiles/b…

We had the pleasure of hosting @EdwardRaffML @CrowdStrike at the Botacin's Lab to discuss #malware #research with our PhD students. A pic to record this great time!

Hope you all enjoy(ed) and See you all next offering!

and Payload encoding for malware evasion@Obfuscation (#Payload_encoding_for_malware_evasion" target="_blank" rel="nofollow noopener">en.wikipedia.org/wiki/Obfuscati…) (see the full list on the links above)

Another semester, another edition of my course on detecting threats (mostly malware) with ML comes to an end. Check the latest news here.

I'm serving in the Editorial Board of Computers & Security. Submit your papers! sciencedirect.com/journal/comput…

The recording of my talk "Hardware is the New Software: The Next-Gen AntiViruses and how your hardware will self-secure your system!" is available at: youtube.com/watch?v=P3p--1…

Video: youtube.com/watch?v=0NkeCb…

It was a great opportunity! Thanks all. Check the slides at marcusbotacin.github.io/talks/purdue

Video: youtube.com/watch?v=HyrpQj…

Video: youtube.com/watch?v=HyrpQj…

[New Paper] "Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms Typo Correction" usenix.org/conference/woo… We published this week at @wootsecurity

Wed. Oct. 29th, 4:30pm ET: "Malware Detection under Concept Drift: Science and Engineering" - Marcus Botacin - Texas A&M ceri.as/marcus

Today's 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 marcusbotacin.github.io/talks/housec25

And I will be talking there!

Want to know more? Check our work!

And there are pretty significant cases of dataset imbalances in popular malware dataset, such as in DREBIN. See the results for more than 5K runs with different configurations:

[New Paper] "Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines" - My first paper with one of my students as the main author. Congrats to Jayesh for his presentation today at DIMVA! Check the paper here: marcusbotacin.github.io/publication/20…