Real Attackers Don't Compute Gradients - Bridging the Gap between Adversarial ML Research and Practice 🤖
Join the next Safe & Secure AI Community meetup, as we welcome Dr. Fabio Pierazzi, a Lecturer in Computer Science and Deputy Head of the Cybersecurity group at the Department of Informatics of King's College London, and affiliated with UCL's Systems Security Research Lab @2Lab.
In this talk, he will briefly present the reflections of their recent IEEE SaTML 23 position paper which aims to bridge the gap between Adversarial ML research and practice. We will discuss several positions and threat model revisions to increase impact of adversarial ML research.
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Register below to attend the event in person at the AI Campus Berlin, or join virtually here!
About the speaker
Dr. Fabio Pierazzi is a Lecturer (Assistant Professor) in Computer Science and Deputy Head of the Cybersecurity group at the Department of Informatics of King's College London, and affiliated with UCL's Systems Security Research Lab (S2Lab). His research interests are at the intersection of systems security and machine learning, with a particular emphasis on settings in which attackers adapt quickly to new defences (i.e., high non-stationarity, adaptive attackers). Previously, he obtained his Ph.D. in Computer Science at University of Modena, Italy (2014–2017), he visited University of Maryland, College Park, USA (2016), and he was a Post-Doctoral Research Associate at Royal Holloway, University of London (2017–2019).
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