STDatav2: Accessing Efficient Black-Box Stealing for Adversarial Attacks

X Sun, G Cheng, H Li, C Lang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
On account of the extreme settings, stealing the black-box model without its training data is
difficult in practice. On this topic, along the lines of data diversity, this paper substantially …

Enhancing the Spatial Resolution of Hyperspectral Images Combining High Accuracy Surface Modeling and Subpixel Unmixing

J Chen, J Li, P Gamba - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Hyperspectral sensors can rapidly acquire high-quality spectral data, very useful for urban
monitoring applications. Unfortunately, their spatial detail is not fine enough, and methods to …

TOAP: Towards Better Robustness in Universal Transferable Anti-Facial Retrieval

Y Lv, L Tang, D Ye, C **e, J Deng, Y He - arxiv preprint arxiv:2412.09692, 2024 - arxiv.org
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve
the efficiency of facial matching. However, it also brings the risk of privacy leakage. Deep …