Track F: Security & Adversarial ML
Red-teaming, robustness, attack/defense.
Reading Order
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Intriguing Properties of Neural Networks paper
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Explaining and Harnessing Adversarial Examples paper
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Universal Adversarial Triggers paper
Branches
After universal-adversarial-triggers, explore:
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Ignore Previous Prompt paper
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Not What You've Signed Up For paper
Key outcome: Understand the threat landscape for ML systems.