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.
Backdoor attacks and defenses for deep neural networks in outsourced cloud environments
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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.