Zhiyuan Yu

According to our database, Zhiyuan Yu authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic and Universal Prompt Injection Attacks against Large Language Models.

Xiaogeng Liu, Zhiyuan Yu, Yizhe Zhang, Ning Zhang, Chaowei Xiao

CoRR, 2024

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.

Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, Ning Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack.

Han Liu, Yuhao Wu, Zhiyuan Yu, Ning Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

PhySense: Defending Physically Realizable Attacks for Autonomous Systems via Consistency Reasoning.

Zhiyuan Yu, Ao Li, Ruoyao Wen, Yijia Chen, Ning Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

ChargeX: Exploring State Switching Attack on Electric Vehicle Charging Systems.

Ce Zhou, Qiben Yan, Zhiyuan Yu, Eshan Dixit, Ning Zhang, Huacheng Zeng, Alireza Safdari Ghanhdari

CoRR, 2023

XCheck: Verifying Integrity of 3D Printed Patient-Specific Devices via Computing Tomography.

Zhiyuan Yu, Yuanhaur Chang, Shixuan Zhai, Nicholas Deily, Tao Ju, XiaoFeng Wang, Uday Jammalamadaka, Ning Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

SMACK: Semantically Meaningful Adversarial Audio Attack.

Zhiyuan Yu, Yuanhaur Chang, Ning Zhang, Chaowei Xiao

Proceedings of the 32nd USENIX Security Symposium, 2023

CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models.

Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao

Proceedings of the International Conference on Machine Learning, 2023

SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples.

Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AntiFake: Using Adversarial Audio to Prevent Unauthorized Speech Synthesis.

Zhiyuan Yu, Shixuan Zhai, Ning Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

PolyRhythm: Adaptive Tuning of a Multi-Channel Attack Template for Timing Interference.

Ao Li, Marion Sudvarg, Han Liu, Zhiyuan Yu, Chris Gill, Ning Zhang

Proceedings of the IEEE Real-Time Systems Symposium, 2022

PowerTouch: A Security Objective-Guided Automation Framework for Generating Wired Ghost Touch Attacks on Touchscreens.

Huifeng Zhu, Zhiyuan Yu, Weidong Cao, Ning Zhang, Xuan Zhang

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

HeatDeCam: Detecting Hidden Spy Cameras via Thermal Emissions.

Zhiyuan Yu, Zhuohang Li, Yuanhaur Chang, Skylar Fong, Jian Liu, Ning Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

When Evil Calls: Targeted Adversarial Voice over IP Network.

Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Security and Privacy in the Emerging Cyber-Physical World: A Survey.

Zhiyuan Yu, Zack Kaplan, Qiben Yan, Ning Zhang

IEEE Commun. Surv. Tutorials, 2021

Towards Automated Computational Auditing of mHealth Security and Privacy Regulations.

Brian Tung, Zhiyuan Yu, Ning Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Bit²RNG: Leveraging Bad-page Initialized Table with Bit-error Insertion for True Random Number Generation in Commodity Flash Memory.

Wei Yan, Huifeng Zhu, Zhiyuan Yu, Fatemeh Tehranipoor, John A. Chandy, Ning Zhang, Xuan Zhang

Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020