OpenAI presented Trading Inference-Time Compute for Adversarial Robustness, a research paper that investigates the relationship between inference-time compute and the robustness of AI models against adversarial attacks. The research, conducted using reasoning models such as OpenAI’s o1-preview and o1-mini, provides initial evidence that allowing models more time and resources during inference can reduce their vulnerability to various types of adversarial attacks.
Source: InfoQ