Adversarial learning for neural pde solvers with sparse data

[PDF] arxiv.org

Cross-modality perturbation synergy attack for person re-identification

Y Gong, Z Zhong, Y Qu, Z Luo, R Ji, M Jiang - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, there has been significant research focusing on addressing security
concerns in single-modal person re-identification (ReID) systems that are based on RGB …
被引用次数：17 相关文章 所有 2 个版本
[PDF] arxiv.org

Cross-modality attack boosted by gradient-evolutionary multiform optimization

Y Gong, Q Zeng, D Xu, Z Wang, M Jiang - arXiv preprint arXiv:2409.17977, 2024 - arxiv.org
In recent years, despite significant advancements in adversarial attack research, the security
challenges in cross-modal scenarios, such as the transferability of adversarial attacks …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

Q Zeng, Z Wang, Y Cheung, M Jiang - arXiv preprint arXiv:2408.08989, 2024 - arxiv.org
While image-to-text models have demonstrated significant advancements in various vision-
language tasks, they remain susceptible to adversarial attacks. Existing white-box attacks on …
被引用次数：2 相关文章 所有 4 个版本
[PDF] arxiv.org

Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications

H Satou, A Mitkiy - arXiv preprint arXiv:2412.00341, 2024 - arxiv.org
The convergence of cross-modal adversarial learning and physics-driven methods
represents a cutting-edge direction for tackling challenges in complex multi-modal tasks and …
相关文章 所有 2 个版本