Publications (10)
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Chunhui Zhang, Li Liu, Yawen Cui +4
Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the ability of an AI system to perform a wide range of tasks and exhibit a level o…
Segment Anything for Videos: A Systematic Survey
Chunhui Zhang, Yawen Cui, Weilin Lin +4
The recent wave of foundation models has witnessed tremendous success in computer vision (CV) and beyond, with the segment anything model (SAM) having sparked a passion for explori…
SARSteer: Safeguarding Large Audio-Language Models via Safe-Ablated Refusal Steering
Weilin Lin, Jianze Li, Hui Xiong +1
Large Audio-Language Models (LALMs) are becoming essential as a powerful multimodal backbone for real-world applications. However, recent studies show that audio inputs can more ea…
RedEdit: Agentic Red-Teaming of Image Safety Classifiers via MCTS-Guided Photo-Editing
Weilin Lin, Ziqi Lin, Zhenxing Zhou +4
Image safety classifiers serve as a critical component of contemporary content moderation systems on the internet. However, their resilience against user-style malicious image edit…
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition
Nanjun Zhou, Weilin Lin, Li Liu
Backdoor attacks have posed a significant threat to the security of deep neural networks (DNNs). Despite considerable strides in developing defenses against backdoor attacks in the…
AutoDenoise: Automatic Data Instance Denoising for Recommendations
Weilin Lin, Xiangyu Zhao, Yejing Wang +2
Historical user-item interaction datasets are essential in training modern recommender systems for predicting user preferences. However, the arbitrary user behaviors in most recomm…