Cross-modality perturbation synergy attack for person re-identification
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 …
concerns in single-modal person re-identification (ReID) systems that are based on RGB …
Adversarial learning for neural pde solvers with sparse data
Neural network solvers for partial differential equations (PDEs) have made significant
progress, yet they continue to face challenges related to data scarcity and model robustness …
progress, yet they continue to face challenges related to data scarcity and model robustness …
Cross-modality attack boosted by gradient-evolutionary multiform optimization
In recent years, despite significant advancements in adversarial attack research, the security
challenges in cross-modal scenarios, such as the transferability of adversarial attacks …
challenges in cross-modal scenarios, such as the transferability of adversarial attacks …
Phy124: Fast Physics-Driven 4D Content Generation from a Single Image
4D content generation focuses on creating dynamic 3D objects that change over time.
Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling …
Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling …
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
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 …
language tasks, they remain susceptible to adversarial attacks. Existing white-box attacks on …
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 …
represents a cutting-edge direction for tackling challenges in complex multi-modal tasks and …
A Review of Image Retrieval Techniques: Data Augmentation and Adversarial Learning Approaches
K Jinwoo - arXiv preprint arXiv:2409.01219, 2024 - arxiv.org
Image retrieval is a crucial research topic in computer vision, with broad application
prospects ranging from online product searches to security surveillance systems. In recent …
prospects ranging from online product searches to security surveillance systems. In recent …