1 code implementation • 22 Dec 2022 • Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
The experimental results show that our method produces meaningful guaranteed robustness for all models and environments.
Multi-agent Reinforcement Learning reinforcement-learning +1
1 code implementation • 15 Jul 2022 • Ronghui Mu, Wenjie Ruan, Leandro S. Marcolino, Qiang Ni
Thus, we propose an efficient verification framework, 3DVerifier, to tackle both challenges by adopting a linear relaxation function to bound the multiplication layer and combining forward and backward propagation to compute the certified bounds of the outputs of the point cloud models.
1 code implementation • 10 Nov 2021 • Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
In recent years, a significant amount of research efforts concentrated on adversarial attacks on images, while adversarial video attacks have seldom been explored.
1 code implementation • 16 Dec 2020 • Jin Wang, Jia Hu, Geyong Min, Qiang Ni, Tarek El-Ghazawi
To address these challenges, we propose a novel learning-driven method, which is user-centric and can make effective online migration decisions by utilizing incomplete system-level information.
no code implementations • 25 Aug 2020 • Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang
Therefore, it is crucial to design a participant selection algorithm that applies to different MCS systems to achieve multiple goals.