Clustered α-smoothing preserves multiple modes in randomized smoothing by smoothing each cluster separately and certifies the smoothed mixture with a probabilistic lower bound.
Diffusion policy attacker: Crafting adversarial attacks for diffusion-based policies.Advances in Neural Information Processing Systems, 37:119614–119637, 2024
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Clustered Randomized Smoothing for Stochastic Prediction Functions
Clustered α-smoothing preserves multiple modes in randomized smoothing by smoothing each cluster separately and certifies the smoothed mixture with a probabilistic lower bound.