Machine Learning Security - ML:Integrity Panel
Robust Intelligence Robust Intelligence
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 Published On Oct 23, 2022

Adversaries can evade, steal intellectual property, or manipulate machine learning models and the software and data supply chains they rely on. In this session on ML security, industry leaders share examples of model vulnerabilities and best practices to secure models from adversarial attacks.

Panelists:
Vijay Bolina, CISO, Google Deepmind
Yassir Nawaz, Head of Emerging Tech Security, JPMorgan Chase
Merritt Baer, Office of the CISO, AWS
Ram Shankar Siva Kumar, Security Data Cowboy, Microsoft

Moderator:
Hyrum Anderson, Distinguished Engineer, Robust Intelligence

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