Closed captioning will be available in English and Japanese for all keynotes and RSAC track sessions.
Please note: All times are in SGT.
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  1. Moscone West 3006

When your machine learning (ML) system is attacked, what legal remedies can you seek? Has your terms of service even been updated to account for such attacks? If you’re an attacker, what risks are you assuming? This panel’s goal will be to convey the definitional challenges that attacks on ML systems pose in cybercrime, copyright and product liability law, and their impact on organizations and society.

Pre-Requisites: The panel is aimed at policy and legal professionals with little to no understanding of Machine learning. All the pre-reqs are self contained. At the beginning of each section, we go through the attack - and then dissect it.

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