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Siddhartha Datta is a research associate at the University of Oxford's Department of Computer Science, focusing on adapting deep neural networks to cope with distribution shifts. His recent work includes several papers, such as 'Backdoors Stuck Frontdoor: Multi-Agent Backdoor Attacks Backfire,' and 'Mind-proofing Phone: Navigating Digital Minefield GreaseTerminator,' both accepted at notable conferences. His research interests lie primarily in Human-Centered Computing and Security, exploring themes like multi-agent systems and code obfuscation through advanced neural network techniques. Datta has also worked extensively with various academic and corporate institutions, contributing to interdisciplinary projects in computational security and technology's impact on society. His teaching experience includes courses on Computer Security and Artificial Intelligence. Datta is affiliated with multiple groups, including the Human-Centered Computing Group and the Systems Security Lab, underscoring his diverse research portfolio.
University of Oxford • Oxford, ENG
Conducts research in deep neural networks and their application to security issues, focusing on human-centered designs.
Department of Politics and International Relations - Higher Level English requirement.