Research
Adversarial Robustness
2 articles in archive
Trading inference-time compute for adversarial robustness
Trading Inference-Time Compute for Adversarial Robustness
OpenAI Blog422d ago
Testing robustness against unforeseen adversaries
We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during training. Our method yields a new metric, UAR (Unforeseen Attack Robustness), which evaluates the robustness of a single model against an unanticipated attack, and highlights the need to measure performance across a more diverse range of unforeseen attacks.
OpenAI Blog2402d ago