Published in Computer Vision and Image Understanding, 2024
This paper is about how to optimize saliency maps for interpretability. Read more
Recommended citation: Zhang, H., Torres, F., Sicre, R., Avrithis, Y., & Ayache, S. (2024). Opti-CAM: Optimizing saliency maps for interpretability. Computer Vision and Image Understanding, 248, 104101. https://www.sciencedirect.com/science/article/pii/S1077314224001826
Published in Proceeding of the 38th AAAI Conference on Artificial Intelligence, 2024
This paper is about adversarial robustness on NeRF. Read more
Recommended citation: Jiang, W., Zhang, H., Wang, X., Guo, Z., & Wang, H. (2024, March). Nerfail: Neural radiance fields-based multiview adversarial attack. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 19, pp. 21197-21205). https://ojs.aaai.org/index.php/AAAI/article/view/30113
Published in EURASIP Journal on Information Security, 2020
This paper is about how to generate smooth adversarial perturbations. Read more
Recommended citation: Zhang, H., Avrithis, Y., Furon, T., & Amsaleg, L. (2020). Smooth adversarial examples. EURASIP Journal on Information Security, 2020, 1-12. https://link.springer.com/article/10.1186/s13635-020-00112-z
Published in IEEE Transactions on Information Forensics and Security, 2020
This paper is about how to generate adversarial perturbation efficiently. Read more
Recommended citation: Zhang, H., Avrithis, Y., Furon, T., & Amsaleg, L. (2020). Walking on the edge: Fast, low-distortion adversarial examples. IEEE Transactions on Information Forensics and Security, 16, 701-713. https://ieeexplore.ieee.org/abstract/document/9186644