2 papers
cs.LG2025
Anomaly Detection Based on Critical Paths for Deep Neural Networks
Fangzhen Zhao, Chenyi Zhang, Naipeng Dong +2
Deep neural networks (DNNs) are notoriously hard to understand and difficult to defend. Extracting representative paths (including the neuron activation values and the connections…
cs.CV2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
Haitong Liu, Kuofeng Gao, Yang Bai +4
Recently, video-based large language models (video-based LLMs) have achieved impressive performance across various video comprehension tasks. However, this rapid advancement raises…