Fabio Pierazzi
Associate Professor in Computer Science at University College London
Member of the UCL Information Security Group

Office 109
169 Euston Rd.
UCL, London
I am invested into understanding how AI can be used to improve systems security tasks, with a particular emphasis on settings in which attackers adapt quickly to new defenses. In this context, I am currently exploring how to measure, mitigate and prevent concept drift in ML-based detection systems; how to measure and improve robustness of systems to adversarial attacks while taking into account problem-space constraints (such as preserving semantics of modified code); and how to explain what these systems are doing, both from an attacker’s and a defender’s perspective.
I also care deeply about the practicality of our proposed solutions, and on understanding implications and limitations of using AI in the context of computer security. To this purpose, I also regularly engage and collaborate with industry. I mostly work on malware analysis and network traffic, but I am becoming more interested in understanding inner workings of AI and ML models to improve their trustworthiness in more general security scenarios.
I am always looking for motivated students and collaborators passionate about these topics. If you are interested in joining my team, or even just visiting, have a look here.
news
May 30, 2025 | Two deadlines (June 2nd and 15th) for fully-funded Home Studentship at UCL: see here. |
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May 25, 2025 | I will be Track Co-Chair at ACM CCS 2026 for the “Machine Learning and Security” track. |
Apr 2, 2025 | The extension of our problem-space attacks paper has been accepted at TOPS |
Mar 10, 2025 | We got a paper accepted at SaTML25 - see here |
Mar 4, 2025 | Updated opportunities for fully-funded Home Studentship at UCL: see here |
selected publications
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2020
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