28 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers
Qin Zhou, Zhexin Zhang, Zhi Li +1
With the rapid advancement of AI models, their deployment across diverse tasks has become increasingly widespread. A notable emerging application is leveraging AI models to assist…
cs.SE2024★ 5 cited
Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning
Xiaoling Zhang, Zhengzi Xu, Shouguo Yang +3
Reverse engineers would acquire valuable insights from descriptive function names, which are absent in publicly released binaries. Recent advances in binary function name predictio…
cs.CR2023★ 28 cited
Harnessing the Power of LLM to Support Binary Taint Analysis
Puzhuo Liu, Chengnian Sun, Yaowen Zheng +8
This paper proposes LATTE, the first static binary taint analysis that is powered by a large language model (LLM). LATTE is superior to the state of the art (e.g., Emtaint, Arbiter…