Yisroel Mirsky is a tenure-track lecturer and Zuckerman Faculty Scholar in the Department of Software and Information Systems Engineering at Ben-Gurion University. He received his Ph.D. from BGU in 2018 and was a postdoctoral fellow for two years in the 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: Popular Science, Scientific American, Wired, The Wall Street Journal, Forbes, and BBC. Some of his works, include the exposure of vulnerabilities in the US 911 emergency services and research into the threat of deepfakes in medical scans, both featured in The Washington Post.

Prospective Students

I am actively seeking excellent M.Sc. and Ph.D. students who would like to research offensive AI (adversarial machine learning , deepfakes, attack automation, …) or AI-based intrusion detection. If you are interested, come check out our lab or send me an email!


Over the years, I have been awarded a number of grants from a wide variety of institutions. Working with these organizations has been an incredible experience. Thank you for your support!


  • RSA Security Conference (USA 2021)
    Securing Tesla \& Mobileye From Split-Second Phantom Attacks
  • Royal Holloway University of LondonInvited Talk – Research Seminar (2019)
    Medical Deepfakes: How malware can automatically tamper CT and MRI Scans
  • MIT - Massachusetts Institute of Technology Research Seminar (2019)
    An invited talk on my research at the ALPHA group of CSAIL (2019).
  • DEF CON 27 AI Village (USA 2019)
    Automated Injection \& Removal of Medical Evidence in CT and MRI Scans
  • Black Hat Asia (Singapore 2019)
    Briefing: See Like a Bat: Using Echo-Analysis to Detect Man-in-the-Middle Attacks in LANs
  • Keio University 9th International Cybersecurity Symposium (Tokyo 2019)
    The Security of AI
  • Bell Labs Research Center, Nokia (2018)
    Online Anomaly Detection Algorithms for Securing the Internet of Things
  • Keio University 7th International Cybersecurity Symposium (Tokyo 2018)
    Panelist: The Future for the Security of AI
  • DBMI Data Mining and Business Intelligence (Israel, 2017)
    Securing IoT Video Surveillance Systems with Online Machine Learning
  • DeepSec In-depth Security Conference (Austria, 2016)
    Bridging the Air-Gap – Data Exfiltration from Air-Gap Networks
  • CODE BLUE (BlackHat Japan) Security Conference (Tokyo, 2016)
    Air-Gap Security: State-of-the-art Attacks, Analysis, and Mitigation


Below is a list of selected publications. For an up-to-date list of publications, please see my Google Scholar.