activity
20182025
most citedCommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

75 citations · 76 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

Peizhuo Lv, Mengjie Sun, Hao Wang +5

In recent years, tremendous success has been witnessed in Retrieval-Augmented Generation (RAG), widely used to enhance Large Language Models (LLMs) in domain-specific, knowledge-in…

eess.AS2023

Towards the Universal Defense for Query-Based Audio Adversarial Attacks

Feng Guo, Zheng Sun, Yuxuan Chen +1

Recently, studies show that deep learning-based automatic speech recognition (ASR) systems are vulnerable to adversarial examples (AEs), which add a small amount of noise to the or…

cs.CR2023

Towards the Transferable Audio Adversarial Attack via Ensemble Methods

Feng Guo, Zheng Sun, Yuxuan Chen +1

In recent years, deep learning (DL) models have achieved significant progress in many domains, such as autonomous driving, facial recognition, and speech recognition. However, the…

cs.CR2021★ 1 cited

SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems

Yuxuan Chen, Jiangshan Zhang, Xuejing Yuan +4

With the wide use of Automatic Speech Recognition (ASR) in applications such as human machine interaction, simultaneous interpretation, audio transcription, etc., its security prot…

cs.CR2018★ 75 cited

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

Xuejing Yuan, Yuxuan Chen, Yue Zhao +7

The popularity of ASR (automatic speech recognition) systems, like Google Voice, Cortana, brings in security concerns, as demonstrated by recent attacks. The impacts of such threat…