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cs.CR2026
Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks
Yi Yang, Xiaoke Chen, Jinyang Huang +6
Backdoor attacks compromise training data so that a model retains clean accuracy but predicts an attacker-chosen target on triggered inputs. At very low poisoning rates, only a few…
cs.CR2026
Checkerboard: Closed-Form and Data-Independent Trigger Design for Clean-Label Backdoor Attacks
Yi Yang, Jinyang Huang, Binbin Liu +6
Backdoor attacks threaten the deep-learning supply chain by poisoning a small fraction of the training data so that a model behaves normally on clean inputs but maps triggered inpu…