7 citations · 7 across the 4 of their papers we have counts for
4 papers
Impact of Fine-Tuning Methods on Memorization in Large Language Models
Jie Hou, Chuxiong Wu, Lannan Luo +1
As the capabilities of pre-trained large language models (LLMs) continue to advance, the "pre-train and fine-tune" paradigm has become increasingly mainstream, leading to the devel…
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny +2
Watermarking for large language models (LLMs) offers a promising approach to identifying AI-generated text. Existing approaches, however, either compromise the distribution of orig…
Touch to Pair: Secure and Usable IoT Pairing without Information Loss
Chuxiong Wu, Xiaopeng Li, Lannan Luo +1
Secure pairing is essential for trustworthy deployment and operation of Internet of Things (IoT) devices. However, traditional pairing methods are unsuitable due to the lack of use…
Turning Noises to Fingerprint-Free "Credentials": Secure and Usable Drone Authentication
Chuxiong Wu, Qiang Zeng
Drones have been widely used in various services, such as delivery and surveillance. Authentication forms the foundation of the security of these services. However, drones are expe…