37 citations · 80 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
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…