Attention Hijacking is a new attack that improves cross-query transferability in VLMs by explicitly steering internal attention to a persistent image-dominant pattern.
Im- proving transferability of adversarial examples with input diversity.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2725–2734, 2018
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Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models
Attention Hijacking is a new attack that improves cross-query transferability in VLMs by explicitly steering internal attention to a persistent image-dominant pattern.