Security in AI: Defending AI Models from Adversarial Attacks
intel.com
Security in AI: Defending AI Models from Adversarial Attacks
Safe deployment of ML-based cyber-physical systems requires robust protection against adversarial manipulation. In this demo, we'll show examples of adversarial-type inputs and how simulation toolkits developed under DARPA's Guaranteeing AI Robustness Against Deception (GARD) program can help developers evaluate the robustness of their models ...
9 months ago
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