no code implementations • 21 Sep 2023 • Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Additionally, we leverage the statistics for a novel self-training process to stabilize the training.
1 code implementation • 27 Mar 2023 • Yurong You, Cheng Perng Phoo, Katie Z Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
For a self-driving car to operate reliably, its perceptual system must generalize to the end-user's environment -- ideally without additional annotation efforts.
1 code implementation • 16 Sep 2021 • Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren
This paper investigates the feasibility of targeted attacks through visually learned patterns placed on physical objects in the environment, a threat model that combines the practicality and effectiveness of the existing ones.