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CN
Home
Scientific Research
Research Field
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Teaching Research
Teaching Resources
Teaching Information
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Pan Zhou
ZHOU PAN
Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Male
Status:Employed
Department:Cyber Science And Engineering
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree
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Paper Publications
Current position:
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Paper Publications
Jiawen Shi, Yixin Liu, Pan Zhou and Lichao Sun, “BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT," Network and Distributed System Security Symposium (NDSS'23), poster publication, San Diego, California. 2023.
Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou and Lichao Sun, “Backdoor Attacks to Pre-trained Unied Foundation Models," Network and Distributed System Security Symposium (NDSS'23), poster publication, San Diego, California. 2023.
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun, “Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?," The 33rd USENIX Security Symposium (Usenix Security), pp. 1-18, 2024.
Cheng Wang, Zenghui Yuan, Pan Zhou, Zichuan Xu, Ruixuan Li, Dapeng Oliver Wu, ``The Security and Privacy of Mobile Edge Computing: An Articial Intelligence Perspective," IEEE Internet of Things Journal (IEEE IOT J), accepted and to appear in 2023..
Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu, ``3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack," International Conference on Computer Vision 2023 (IEEE ICCV), Paris, Oct 2-6, 2023.
Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng, You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks? 2023 Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2023), accepted and to appear.
Youqi Li, Fan Li, Lixing Chen, Liehuang Zhu,Pan Zhou, and Yu Wang, “Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties,” IEEE Transactions on Mobile Computing (IEEE TMC), accepted and to appear in 2023.
Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou, “Distantly Supervised Named Entity Recognition with Adaptive Teacher Learning and Finegrained Student Ensemble,” The Thirty-Fifth Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA, from February 7–14, 2023.
Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou, “AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation,” IEEE Conference on Computer Communications (IEEE INFOCOM 2023), New York area, USA, from May 17–20, 2023.
Xiang Fang, Daizong Liu, Pan Zhou, Yuchong Hu, “Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval,” IEEE Trans. Multimedia (IEEE TMM), accepted and to appear in 2023.
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