HQA-VLAttack creates high-quality adversarial attacks on vision-language models via counter-fitting text substitutions and layer-guided contrastive image optimization that decreases positive pair similarity while increasing negative pair similarity, outperforming baselines on three benchmarks.
Fine-grained image captioning with global-local discriminative objective.IEEE Transactions on Multimedia (TMM), 23:2413– 2427
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HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
HQA-VLAttack creates high-quality adversarial attacks on vision-language models via counter-fitting text substitutions and layer-guided contrastive image optimization that decreases positive pair similarity while increasing negative pair similarity, outperforming baselines on three benchmarks.