Tag
Adversarial Training
Posts and notes tagged with Adversarial Training.
- September 28, 202612 min read
Adversarial Defense with Preference Optimization (AdPO)
How AdPO turns adversarial training into a preference optimization problem: a vision-language model learns, with DPO, to prefer its own description of a clean image over its description of an attacked one, and to describe the attacked image as if it were clean.
- September 20, 202611 min read
Adversarial Policy Optimization (APO)
How APO makes a reinforcement learning agent robust to high-dimensional and noisy observations: a perturber network learns small changes to the observation that change the agent's actions the most, and the policy network learns to ignore them, in a max-min game on top of PPO.