A clean-label full-target backdoor attack using class-conditional autoencoders reports above 99% attack success at 0.4% poisoning rates across datasets and models.
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FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
A clean-label full-target backdoor attack using class-conditional autoencoders reports above 99% attack success at 0.4% poisoning rates across datasets and models.