Publications

2023

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

Han Liu, Yuhao Wu, Zhiyuan Yu, Ning Zhang.
In IEEE Symposium on Security and Privacy (IEEE S&P), 2023. (Acceptance Rate: 83/558=14.9%)

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts

Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang.
In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
[PDF] [Code]

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

Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang.
In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
[PDF] [Code]

IP Protection in TinyML

Jinwen Wang*, Yuhao Wu*, Han Liu, Bo Yuan, Roger Chamberlain, Ning Zhang (* Equal Contribution).
In ACM/IEEE Design Automation Conference (DAC), 2023.

2022

When Evil Calls: Targeted Adversarial Voice over IP Network

Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang.
In ACM Conference on Computer and Communications Security (CCS), 2022.
[PDF] [Code]

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

Ao Li*, Marion Sudvarg*, Han Liu, Zhiyuan Yu, Chris Gill, Ning Zhang (* Equal Contribution).
In IEEE Real-Time Systems Symposium (RTSS), 2022.
[PDF] [Code]

From Timing Variations to Performance Degradation: Understanding and Mitigating the Impact of Software Execution Timing in SLAM

Ao Li, Han Liu, Jinwen Wang, Ning Zhang.
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[PDF] [Code]