37 citations · 80 across the 10 of their papers we have counts for
11 papers
BenchChecker: Assessing the Credibility of Bug-Fixing Benchmarks for LLMs
Di Wu, Xu He, Shu Wang +1
While Large Language Models (LLMs) show promise for Automatic Program Repair (APR), existing benchmarks suffer from data contamination, in which test samples appear in training set…
PathFix: Automated Program Repair with Expected Path
Xu He, Shu Wang, Kun Sun
Automated program repair (APR) techniques are effective in fixing inevitable defects in software, enhancing development efficiency and software robustness. However, due to the diff…
ChainMarks: Securing DNN Watermark with Cryptographic Chain
Brian Choi, Shu Wang, Isabelle Choi +1
With the widespread deployment of deep neural network (DNN) models, dynamic watermarking techniques are being used to protect the intellectual property of model owners. However, re…
TYPEPULSE: Detecting Type Confusion Bugs in Rust Programs
Hung-Mao Chen, Xu He, Shu Wang +2
Rust supports type conversions and safe Rust guarantees the security of these conversions through robust static type checking and strict ownership guidelines. However, there are in…
Dye4AI: Assuring Data Boundary on Generative AI Services
Shu Wang, Kun Sun, Yan Zhai
Generative artificial intelligence (AI) is versatile for various applications, but security and privacy concerns with third-party AI vendors hinder its broader adoption in sensitiv…
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning
Xu He, Shu Wang, Pengbin Feng +4
A timely software update is vital to combat the increasing security vulnerabilities. However, some software vendors may secretly patch their vulnerabilities without creating CVE en…
Having Difficulty Understanding Manuals? Automatically Converting User Manuals into Instructional Videos
Songsong Liu, Shu Wang, Kun Sun
While users tend to perceive instructional videos as an experience rather than a lesson with a set of instructions, instructional videos are more effective and appealing than textu…
Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks
Shu Wang, Kun Sun, Qi Li
Automatic speech recognition (ASR) provides diverse audio-to-text services for humans to communicate with machines. However, recent research reveals ASR systems are vulnerable to v…
Exploring Security Commits in Python
Shiyu Sun, Shu Wang, Xinda Wang +3
Python has become the most popular programming language as it is friendly to work with for beginners. However, a recent study has found that most security issues in Python have not…
PatchRNN: A Deep Learning-Based System for Security Patch Identification
Xinda Wang, Shu Wang, Pengbin Feng +4
With the increasing usage of open-source software (OSS) components, vulnerabilities embedded within them are propagated to a huge number of underlying applications. In practice, th…
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Shu Wang, Jiahao Cao, Xu He +2
Automatic speech recognition (ASR) systems have been widely deployed in modern smart devices to provide convenient and diverse voice-controlled services. Since ASR systems are vuln…