DARPA: Guaranteeing AI Robustness against Deception (GARD )

The GARD program aims to develop a new generation of defenses against deception attacks on machine learning (ML). GARD’s purpose is to encourage both development of underlying theory and to functionally and substantially improve ML defensibility, leading to a new generation of defense approaches beyond current mathematical and algorithmic thinking.

• TA1.1: Theoretical Foundations for Defensible AI
• TA1.2: Principled Defenses