most citedTPatch: A Triggered Physical Adversarial Patch

3 citations · 5 across the 7 of their papers we have counts for

collaborators

6 papers

eess.SP2024

PowerRadio: Manipulate Sensor Measurementvia Power GND Radiation

Yan Jiang, Xiaoyu Ji, Yancheng Jiang +3

Sensors are key components enabling various applications, e.g., home intrusion detection and environmental monitoring. While various software defenses and physical protections are…

cs.RO2024

Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving

Bo Yang, Xiaoyu Ji, Zizhi Jin +2

Our study assesses the adversarial robustness of LiDAR-camera fusion models in 3D object detection. We introduce an attack technique that, by simply adding a limited number of phys…

cs.CV2023

CamPro: Camera-based Anti-Facial Recognition

Wenjun Zhu, Yuan Sun, Jiani Liu +3

The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat. Existing…

cs.CR20233 cited

TPatch: A Triggered Physical Adversarial Patch

Wenjun Zhu, Xiaoyu Ji, Yushi Cheng +2

Autonomous vehicles increasingly utilize the vision-based perception module to acquire information about driving environments and detect obstacles. Correct detection and classifica…

cs.CR20232 cited

Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time

Xinfeng Li, Chen Yan, Xuancun Lu +3

Automatic speech recognition (ASR) systems have been shown to be vulnerable to adversarial examples (AEs). Recent success all assumes that users will not notice or disrupt the atta…

cs.RO2023

Chat-PM: A Class of Composite Hybrid Aerial/Terrestrial Precise Manipulator

Yihang Ding, Xiaoyu Ji, Lixian Zhang +3

This paper concentrates on the development of Chat-PM, a class of composite hybrid aerial/terrestrial manipulator, in concern with composite configuration design, dynamics modeling…