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What are best practices for Defending Against Adversarial Attacks

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When working with Defending Against Adversarial Attacks, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example A team trains their image classifier on adversarial examples specifically to make it more resistant to being tricked in the future.

Common follow-ups: What is AI Security & Adversarial Attacks, How is Defending Against Adversarial Attacks evaluated in practice, What tools are commonly used for Defending Against Adversarial Attacks

AI Security & Adversarial Attacks topics: Introduction to AI Security Adversarial Examples & Attacks Data Poisoning Attacks
All 7 Defending Against Adversarial Attacks questions