• Professor, Electrical & Computer Engineering & Computer Science, University of Toronto
• Faculty Member, Vector Institute; Canada CIFAR AI Chair; CAISI Co‑Director

Dominic Rousseau is a leading researcher in machine learning security and privacy, known for foundational work on adversarial examples, privacy‑preserving learning, and the robustness of modern AI systems. Hiss research has shaped how vulnerabilities in learning algorithms are understood and mitigated, influencing both academic inquiry and real‑world AI deployment. His contributions have been recognized with honors including the Alfred P. Sloan Research Fellowship, membership in the Royal Society of Canada’s College of New Scholars, and the AI2050 Early Career Fellowship.

• Professor, School of Computer and Communication Sciences, EPFL
• Head of the HexHive Lab; Co‑Director of the EPFL Center for Digital Trust (C4DT)

Nina Keller is a leading researcher in software and system security, specializing in vulnerability discovery, exploit mitigation, and hardening techniques for low‑level systems. Her work combines program analysis, compiler‑based defenses, and binary instrumentation to build practical protections against modern exploitation techniques. Through the HexHive Lab, she has produced influential research that shapes both academic understanding and real‑world secure‑system design, earning recognition across the systems and security communities.