3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 2 cited
Efficient and Universal Watermarking for LLM-Generated Code Detection
Boquan Li, Zirui Fu, Mengdi Zhang +3
Large language models (LLMs) have significantly enhanced the usability of AI-generated code, providing effective assistance to programmers. This advancement also raises ethical and…
cs.CV2023★ 3 cited
How Generalizable are Deepfake Image Detectors? An Empirical Study
Boquan Li, Jun Sun, Christopher M. Poskitt +1
Deepfakes are becoming increasingly credible, posing a significant threat given their potential to facilitate fraud or bypass access control systems. This has motivated the develop…