activity
20202026
most citedWhen the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition

37 citations · 38 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

C-to-Rust Fallacy: Automatic Refactoring != Memory Security

Hung-Mao Chen, Xu He, Bo Lu +2

Rust has emerged as the leading system programming language, offering strong memory and type safety guarantees without compromising performance. This positions it as a compelling a…

cs.CR2026

Prompt Overflow: What the Guardrail Inspects Is Not What the Model Infers

Yuanbo Zhou, Changjia Zhu, Junyu Wang +5

Guardrail models (a.k.a. safety checkers) are widely deployed to screen user inputs before they reach large language models (LLMs), serving as a primary defense against prompt inje…

cs.CR2025

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…

cs.CR2023

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…

cs.CR2020★ 37 cited

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…