5 citations · 5 across the 5 of their papers we have counts for
5 papers
Thermal-Only Crowd Counting with Deployment-Time Privacy Protection
Yifei Qian, Zhongliang Guo, Chun Tong Lei +4
While RGB-Thermal crowd counting has shown promise, the paradigm faces critical limitations: RGB data raises privacy concerns in public surveillance, and multi-modal misalignment d…
Towards more transferable adversarial attack in black-box manner
Chun Tong Lei, Zhongliang Guo, Hon Chung Lee +2
Adversarial attacks have become a well-explored domain, frequently serving as evaluation baselines for model robustness. Among these, black-box attacks based on transferability hav…
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…
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks
Xinxin Liu, Zhongliang Guo, Siyuan Huang +1
Neural networks have achieved remarkable performance across a wide range of tasks, yet they remain susceptible to adversarial perturbations, which pose significant risks in safety-…
A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
Zhongliang Guo, Chun Tong Lei, Lei Fang +7
Recent advancements in Latent Diffusion Models (LDMs) have revolutionized image synthesis and manipulation, raising significant concerns about data misappropriation and intellectua…