Conference:
- From Virtual Touch to Tesla Command: Unlocking Unauthenticated Control Chains From Smart Glasses for Vehicle Takeover. Xiangli Zhang, Yazhou Tu, Yan Long, Liqun Shan, Mohamed A Elsaadani, Kevin Fu, Zhiqiang Lin, and Xiali Hei. Accepted by the 2024 IEEE Symposium on Security and Privacy (Oakland). Acceptance rate: 17.8%. This paper won the 1st STEM Paper at the UL Lafayette competition in Spring 2024 and the Distinguished Paper Award of Oakland 2024. Link
- Can’t say cant? Measuring and Reasoning of Dark Jargons in Large Language Models. Xu Ji, Jianyi Zhang, Ziyin Zhou, Zhangchi Zhao, Qianqian Qiao, Kaiying Han, Md Imran Hossen and Xiali Hei. Accepted by EAI SecureComm 2024. Link
- Practitioner Paper: Decoding Intellectual Property: Acoustic and Magnetic Side-channel Attack on a 3D Printer. Amirhossein Jamarani, Yazhou Tu, and Xiali Hei. Published by EAI SmartSP’24. Link
- IdentityKD: Class-wise Cross-modal Knowledge Distillation for Identity Recognition via mmWave Radar Sensors. Liqun Shan, Rujun Zhang, Sai Venkatesh Chilukoti, Xingli Zhang, Insup, Lee, and Xiali Hei. Accepted by ACM Asia MM 2024. Link
- Paa-Tee: A Practical Adversarial Attack on Thermal Infrared Detectors with Temperature and Pose Adaptability. Zhangchi Zhao, Jianyi Zhang, Liqun Shan, Ziyin Zhou, Kaiying Han and Xiali Hei. Accepted to EAI TrustCom 2024.
- Ethical considerations and policy implications for large language models: guiding responsible development and deployment. Jianyi Zhang, Xu Ji, Zhangchi Zhao, Xiali Hei, Kim-Kwang Raymond Choo. Accepted by EAI SmartSP’24, 2024. paper
Journal:
- A Reliable Diabetic Retinopathy Grading via Transfer Learning and Ensemble Learning with Quadratic Weighted Kappa Metric. Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, and Xiali Hei. Published by BMC Medical Informatics and Decision Making. paper
Preprint:
- On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code. Md Imran Hossen and Xiali Hei. paper
- “Assessing Cybersecurity Vulnerabilities in Code Large Language Models“. Md Imran Hossen, Jianyi Zhang, Yinzhi Cao, and Xiali Hei. paper
- Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation. Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan, Vijay Srinivas Tida, Xiai Hei. paper
- Facebook Report on Privacy of fNIRS data. Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei. paper