Attention-guided trigger placement with co-optimized training and alternating clean retraining achieves high backdoor attack success at low poison ratios on CNNs and vision transformers, while evading several published defenses.
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An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
Attention-guided trigger placement with co-optimized training and alternating clean retraining achieves high backdoor attack success at low poison ratios on CNNs and vision transformers, while evading several published defenses.