16 citations · 16 across the 7 of their papers we have counts for
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cs.CR2025
CODE ACROSTIC: Robust Watermarking for Code Generation
Li Lin, Siyuan Xin, Yang Cao +1
Watermarking large language models (LLMs) is vital for preventing their misuse, including the fabrication of fake news, plagiarism, and spam. It is especially important to watermar…
cs.CV2025
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Qilin Yin, Wei Lu, Xiangyang Luo +1
Most research efforts in the multimedia forensics domain have focused on detecting forgery audio-visual content and reached sound achievements. However, these works only consider d…
cs.CV2025
Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
Zhihua Wang, Yu Long, Qinghua Lin +5
Deep neural networks (DNNs) have recently become the leading method for low-light image enhancement (LLIE). However, despite significant progress, their outputs may still exhibit i…