6 citations · 9 across the 5 of their papers we have counts for
5 papers
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
Zhongliang Guo, Yifei Qian, Yanli Li +6
Adversarial attacks against computer vision systems have emerged as a critical research area that challenges the fundamental assumptions about neural network robustness and securit…
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
Hon Ming Yam, Zhongliang Guo, Chun Pong Lau
The proliferation of diffusion-based deepfake technologies poses significant risks for unauthorized and unethical facial image manipulation. While traditional countermeasures have…
Whole-body Detection, Recognition and Identification at Altitude and Range
Siyuan Huang, Ram Prabhakar Kathirvel, Chun Pong Lau +1
In this paper, we address the challenging task of whole-body biometric detection, recognition, and identification at distances of up to 500m and large pitch angles of up to 50 degr…
Attribute-Guided Encryption with Facial Texture Masking
Chun Pong Lau, Jiang Liu, Rama Chellappa
The increasingly pervasive facial recognition (FR) systems raise serious concerns about personal privacy, especially for billions of users who have publicly shared their photos on…
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiang Liu, Alexander Levine, Chun Pong Lau +2
Object detection plays a key role in many security-critical systems. Adversarial patch attacks, which are easy to implement in the physical world, pose a serious threat to state-of…