S³ Seminar: Offensive AI- The Dark Side of Intelligent Systems
The Institute of Software Systems and Security (S³), part of the newly established Faculty of Computer and Information Science, is pleased to announce its inaugural seminar. We invite you to join us—either in person or online.
Seminar Coordinator: geraw@bgu.ac.il
Title: Offensive AI: The Dark Side of Intelligent Systems
Abstract:
As artificial intelligence becomes more powerful, so do the techniques used to exploit it. Offensive AI refers to the use—or abuse—of machine learning systems to undermine security, compromise privacy, and erode trust. In this talk, we will explore how adversaries are weaponizing AI across a range of attack surfaces.
Drawing on recent work from our lab presented at USENIX, NDSS, and DEF CON, we'll cover real-world attacks such as model and data extraction, privacy leakage through side channels, and the misuse of generative models in deepfakes—from real-time impersonation to medical and biometric deception. We’ll also dive into the growing threat of AI-driven cyberattack automation, including voice and chat scams powered by large language models.
This session will offer technical insights into how these attacks work, their implications for the broader security landscape, and what researchers and practitioners can do to stay ahead of evolving threats.
Bio:
Dr. Yisroel Mirsky is a Zuckerman Faculty Scholar and tenured senior lecturer in the Institute of Software Systems and Security at Ben-Gurion University. He is the head of the Offensive AI Research Lab at CBG and a 2025 winner of the prestigious ERC-STG grant. He received his Ph.D. from BGU in 2018 and was a postdoctoral fellow for two years in at the Georgia Institute of Technology in the research labs of Prof. Wenke Lee. His main research interests include deepfakes, adversarial machine learning, anomaly detection, and intrusion detection. Dr. Mirsky has published his work in some of the best security venues: USENIX, CCS, NDSS, Euro S&P, Black Hat, DEF CON, RSA, CSF, AISec, etc. His research has also been featured in many well-known media outlets: Washington Post, Popular Science, Scientific American, Wired, The Wall Street Journal, Forbes, and Ars Technica.
Join Zoom Meeting:
https://us02web.zoom.us/j/88589981332?pwd=8MnYj5YSIctXAu7k7yzlk2IGTbWDoO.1
Meeting ID: 885 8998 1332
Passcode: 242277
