activity
20192026
most citedA Framework for Evaluating Security in the Presence of Signal Injection Attacks

25 citations · 30 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CR2026

Lightweight Detection of Electromagnetic Signal Injection Attacks on Image Sensors

Youqian Zhang, Chunxi Yang, Eugene Yujun Fu +3

Electromagnetic signal injection attacks (ESIA) pose a growing threat to image sensors, which are increasingly used in different intelligent systems. By emitting electromagnetic in…

cs.CL2026

Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams

Arda Eren, Micheal Cheung, Youqian Zhang +2

Scam phone calls exploit vulnerable communities worldwide, yet research on detection has focused almost exclusively on English and other high-resource languages. In low-resource se…

cs.CR2026

AI Security Research Should Better Incentivize Defense Research

Youqian Zhang

This work examines an imbalance in artificial intelligence (AI) security research: the field tends to produce more work on attacking AI systems than on defending them. Drawing on r…

cs.CR2026

Phantom Force: Injecting Adversarial Tactile Perceptions into Embodied Intelligence via EMI

Zirui Kong, Youqian Zhang, Sze Yiu Chau

Embodied intelligent robots rely on tactile sensors to interact with the physical world safely. While the security of visual perception systems has been studied (e.g., adversarial…

cs.CR2025★ 1 cited

One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection

Kangzhong Wang, Zitong Shen, Youqian Zhang +4

Phone scams remain a pervasive threat to both personal safety and financial security worldwide. Recent advances in large language models (LLMs) have demonstrated strong potential i…

cs.CR2025

Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensors

Youqian Zhang, Xinyu Ji, Zhihao Wang +1

Image sensors are integral to a wide range of safety- and security-critical systems, including surveillance infrastructure, autonomous vehicles, and industrial automation. These sy…

cs.HC2025

"It Warned Me Just at the Right Moment": Exploring LLM-based Real-time Detection of Phone Scams

Zitong Shen, Sineng Yan, Youqian Zhang +3

Despite living in the era of the internet, phone-based scams remain one of the most prevalent forms of scams. These scams aim to exploit victims for financial gain, causing both mo…

cs.CR2025★ 1 cited

Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception

Wenhao Liao, Sineng Yan, Youqian Zhang +3

Autonomous vehicles rely on camera-based perception systems to comprehend their driving environment and make crucial decisions, thereby ensuring vehicles to steer safely. However,…

cs.CR2024★ 1 cited

Combating Phone Scams with LLM-based Detection: Where Do We Stand?

Zitong Shen, Kangzhong Wang, Youqian Zhang +2

Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, sc…

cs.CR2024

Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks

Denglin Kang, Youqian Zhang, Wai Cheong Tam +1

Cameras are integral components of many critical intelligent systems. However, a growing threat, known as Electromagnetic Signal Injection Attacks (ESIA), poses a significant risk…

cs.CR2024★ 1 cited

A Simulation Framework for Electromagnetic Signal Injection Attacks on Image Sensors

Youqian Zhang, MK Michael Cheung, Chunxi Yang +6

Image sensors are fundamental to many intelligent systems, allowing visual perception and AI-driven decision-making. However, their integrity can be compromised by electromagnetic…

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.CR2022

Electromagnetic Signal Injection Attacks on Differential Signaling

Youqian Zhang, Kasper Rasmussen

Differential signaling is a method of data transmission that uses two complementary electrical signals to encode information. This allows a receiver to reject any noise by looking…

cs.CR2022★ 1 cited

Detection of Electromagnetic Signal Injection Attacks on Actuator Systems

Youqian Zhang, Kasper Rasmussen

An actuator is a device that converts electricity into another form of energy, typically physical movement. They are absolutely essential for any system that needs to impact or mod…

cs.CR2019★ 25 cited

A Framework for Evaluating Security in the Presence of Signal Injection Attacks

Ilias Giechaskiel, Youqian Zhang, Kasper B. Rasmussen

Sensors are embedded in security-critical applications from medical devices to nuclear power plants, but their outputs can be spoofed through electromagnetic and other types of sig…