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Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
In this paper, however, we propose a novel, more general, and practical setting, namely adaptive hierarchical certification for image semantic segmentation.
Breaking the De-Pois Poisoning Defense
In our work, we break this poison-protection layer by replicating the critic model and then performing a composed gradient-sign attack on both the critic and target models simultaneously -- allowing us to bypass the critic firewall to poison the target model.
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