activity
20172024
most citedDolphinAtack: Inaudible Voice Commands

564 citations · 603 across the 9 of their papers we have counts for

collaborators

10 papers

eess.SP2024

PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR

Zizhi Jin, Qinhong Jiang, Xuancun Lu +3

LiDAR (Light Detection and Ranging) is a pivotal sensor for autonomous driving, offering precise 3D spatial information. Previous signal attacks against LiDAR systems mainly exploi…

cs.CR2024★ 1 cited

ReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters

Fengchen Yang, Zihao Dan, Kaikai Pan +3

With the boom of renewable energy sources (RES), the number of power inverters proliferates. Power inverters are the key electronic devices that transform the direct current (DC) p…

cs.CR2024★ 1 cited

SafeEar: Content Privacy-Preserving Audio Deepfake Detection

Xinfeng Li, Kai Li, Yifan Zheng +3

Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable performance in generating realistic and natural audio. However, their dark side, audio deepfake pose…

cs.CR2024

Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection

Youqian Zhang, Chunxi Yang, Eugene Y. Fu +7

Object detection can localize and identify objects in images, and it is extensively employed in critical multimedia applications such as security surveillance and autonomous drivin…

cs.CV2024★ 19 cited

SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models

Xinfeng Li, Yuchen Yang, Jiangyi Deng +4

Text-to-image (T2I) models, such as Stable Diffusion, have exhibited remarkable performance in generating high-quality images from text descriptions in recent years. However, text-…

cs.CR2023★ 2 cited

Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time

Xinfeng Li, Chen Yan, Xuancun Lu +3

Automatic speech recognition (ASR) systems have been shown to be vulnerable to adversarial examples (AEs). Recent success all assumes that users will not notice or disrupt the atta…

cs.SD2023★ 1 cited

Enrollment-stage Backdoor Attacks on Speaker Recognition Systems via Adversarial Ultrasound

Xinfeng Li, Junning Ze, Chen Yan +3

Automatic Speaker Recognition Systems (SRSs) have been widely used in voice applications for personal identification and access control. A typical SRS consists of three stages, i.e…

cs.CR2022

Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing

Yan Long, Chen Yan, Shilin Xiao +3

Using mathematical modeling and human subjects experiments, this research explores the extent to which emerging webcams might leak recognizable textual and graphical information gl…

cs.CV2022★ 15 cited

Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition

Chen Yan, Zhijian Xu, Zhanyuan Yin +2

Traffic light recognition is essential for fully autonomous driving in urban areas. In this paper, we investigate the feasibility of fooling traffic light recognition mechanisms by…

cs.CR2017★ 564 cited

DolphinAtack: Inaudible Voice Commands

Guoming Zhang, Chen Yan, Xiaoyu Ji +3

Speech recognition (SR) systems such as Siri or Google Now have become an increasingly popular human-computer interaction method, and have turned various systems into voice control…