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Randomized smoothing (RS) is a well known certified defense against adversarial attacks, which creates a smoothed classifier by predicting the most likely class under random noise perturbations of inputs during inference. While initial work focused o
Externí odkaz:
http://arxiv.org/abs/2304.10446
