6 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…
PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
Minh Quoc Duong, Chun Tong Lei, Chun Pong Lau
With the proliferation of AI-generated images, digital watermarking has become an essential safeguard for protecting intellectual property and mitigating malicious exploitation. Re…
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Yifei Qian, Zhongliang Guo, Bowen Deng +5
Zero-shot object counting aims to count instances of arbitrary object categories specified by text descriptions. Existing methods typically rely on vision-language models like CLIP…
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…
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…
Instant Adversarial Purification with Adversarial Consistency Distillation
Chun Tong Lei, Hon Ming Yam, Zhongliang Guo +2
Neural networks have revolutionized numerous fields with their exceptional performance, yet they remain susceptible to adversarial attacks through subtle perturbations. While diffu…