2024
3DVerifier: efficient robustness verification for 3D point cloud models (Journal article)
Mu, R., Ruan, W., Marcolino, L. S., & Ni, Q. (2024). 3DVerifier: efficient robustness verification for 3D point cloud models. Machine Learning, 113(4), 1771-1798. doi:10.1007/s10994-022-06235-3DOI: 10.1007/s10994-022-06235-3
Mu, R., Marcolino, L., Ni, Q., & Ruan, W. (2024). Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.. Neural networks : the official journal of the International Neural Network Society, 171, 127-143. doi:10.1016/j.neunet.2023.11.056DOI: 10.1016/j.neunet.2023.11.056
Chen, Z., Wang, F., Mu, R., Xu, P., Huang, X., & Ruan, W. (2024). Nrat: towards adversarial training with inherent label noise. Machine Learning. doi:10.1007/s10994-023-06437-3DOI: 10.1007/s10994-023-06437-3
2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning (Conference Paper)
Mu, R., Ruan, W., Marcolino, L. S., Jin, G., & Ni, Q. (2023). Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. In Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 Vol. 37 (pp. 15046-15054).
Jin, G., Yi, X., Wu, D., Mu, R., & Huang, X. (2023). Randomized Adversarial Training via Taylor Expansion. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr52729.2023.01578DOI: 10.1109/cvpr52729.2023.01578
2022
2021