ConceptAdversarial Robustness
Adversarial Robustness
The ability of a model to withstand adversarial input attacks. It is an important indicator for evaluating the safety of AI systems, and assessment in the robotics domain is currently almost absent.
Timeline (last 90 days)
Oct 13
If a model learns during training to counter probe detection by encoding deceptive intent into representation spaces that are hard for the probe to capture, detection performance may decline.
Unverified50%