7 citations · 7 across the 5 of their papers we have counts for
5 papers
Overloading Large Vision-Language Models for Jailbreaking
Haoyu Zhang, Yangyang Guo, Mohan Kankanhalli
Large Vision-Language Models (LVLMs) exhibit remarkable vision-language capabilities and are increasingly deployed in real-world applications such as personal assistants, document…
Involuntary Jailbreak: On Self-Prompting Attacks
Yangyang Guo, Yangyan Li, Mohan Kankanhalli
In this study, we disclose a worrying new vulnerability in Large Language Models (LLMs), which we term \textbf{involuntary jailbreak}. Unlike existing jailbreak attacks, this weakn…
Fair Deepfake Detectors Can Generalize
Harry Cheng, Ming-Hui Liu, Yangyang Guo +3
Deepfake detection models face two critical challenges: generalization to unseen manipulations and demographic fairness among population groups. However, existing approaches often…
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks
Tianyi Wang, Harry Cheng, Ming-Hui Liu +1
Proactive Deepfake detection via robust watermarks has seen interest ever since passive Deepfake detectors encountered challenges in identifying high-quality synthetic images. Howe…
GroMo: Plant Growth Modeling with Multiview Images
Ruchi Bhatt, Shreya Bansal, Amanpreet Chander +5
Understanding plant growth dynamics is essential for applications in agriculture and plant phenotyping. We present the Growth Modelling (GroMo) challenge, which is designed for two…