Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability

1 May 2020Hojjat AghakhaniDongyu MengYu-Xiang WangChristopher KruegelGiovanni Vigna

A recent source of concern for the security of neural networks is the emergence of clean-label dataset poisoning attacks, wherein correctly labeled poisoned samples are injected in the training dataset. While these poisons look legitimate to the human observer, they contain malicious characteristics that trigger a targeted misclassification during inference... (read more)

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