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Random Logit Scaling can drastically reduce adversarial attack success rates while preserving model accuracy, challenging the effectiveness of current black-box defenses.
Unlearning nudity in Stable Diffusion can severely degrade its ability to compose scenes correctly, showing that current unlearning methods struggle to balance concept removal with broader generative capabilities.
