2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.SD2022★ 2 cited
Phonemic Adversarial Attack against Audio Recognition in Real World
Jiakai Wang, Zhendong Chen, Zixin Yin +2
Recently, adversarial attacks for audio recognition have attracted much attention. However, most of the existing studies mainly rely on the coarse-grain audio features at the insta…
cs.MA2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
Jun Guo, Yonghong Chen, Yihang Hao +3
While deep neural networks (DNNs) have strengthened the performance of cooperative multi-agent reinforcement learning (c-MARL), the agent policy can be easily perturbed by adversar…
cs.CV2022★ 2 cited
Defensive Patches for Robust Recognition in the Physical World
Jiakai Wang, Zixin Yin, Pengfei Hu +5
To operate in real-world high-stakes environments, deep learning systems have to endure noises that have been continuously thwarting their robustness. Data-end defense, which impro…