3 papers
cs.CL2025
"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
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
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…