1 code implementation • 22 Apr 2024 • Dengchun Li, Yingzi Ma, Naizheng Wang, Zhengmao Ye, Zhiyuan Cheng, Yinghao Tang, Yan Zhang, Lei Duan, Jie Zuo, Cal Yang, Mingjie Tang
We also propose a new high-throughput framework to alleviate the computation and memory bottlenecks during the training and inference of MOE models.
1 code implementation • 1 Apr 2024 • Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang
Our attack prototype, named BadPart, is evaluated on both MDE and OFE tasks, utilizing a total of 7 models.
no code implementations • 28 Apr 2023 • Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
We argue that the weakest link of fusion models depends on their most vulnerable modality, and propose an attack framework that targets advanced camera-LiDAR fusion-based 3D object detection models through camera-only adversarial attacks.
1 code implementation • 31 Jan 2023 • Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
We improve adversarial robustness against physical-world attacks using L0-norm-bounded perturbation in training.
1 code implementation • 11 Jul 2022 • Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
Experimental results show that our method can generate stealthy, effective, and robust adversarial patches for different target objects and models and achieves more than 6 meters mean depth estimation error and 93% attack success rate (ASR) in object detection with a patch of 1/9 of the vehicle's rear area.
no code implementations • 3 Dec 2019 • Lifeng Tan, Cong Jin, Zhiyuan Cheng, Xin Lv, Leiyu Song
Scientists have used many different classification methods to solve the problem of music classification.