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赵朴凝

　　教师介绍

　　赵朴凝，中山大学网络空间安全学院副教授，博士生导师。美国加州大学戴维斯分校电子工程系博士，本科毕业于中国科学技术大学。曾在腾讯、之江实验室从事机器学习、数据安全与隐私相关研究工作。目前已经以第一作者发表CCF A类论文12篇，含5篇信息论领域顶级期刊IEEE Transactions on Information Theory，1篇信息安全领域顶级会议IEEE S&P。此外还以第一作者发表ICLR论文1篇并入选亮点（Spotlight）论文。

　　

　　研究兴趣

　　差分隐私、投毒攻击与防御、稳健统计、大模型安全等

　　

　　地址

　　深圳市光明区公常路66号中山大学工学园2栋510室

 

　　邮箱

　　zhaopn@mail.sysu.edu.cn

 

　　谷歌学术

　　https://scholar.google.com/citations?user=1jc7kasAAAAJ&hl=en&oi=ao

 

　　* 欢迎数学基础扎实或编程能力强，有志于攻读硕士/博士的同学与我联系

　　* 欢迎对机器学习理论、差分隐私、信息论、人工智能安全等感兴趣的本科同学加入课题组实习

　　* 可为学生推荐国内外知名高校和腾讯等互联网大厂实习、交流的机会

 

　　

　　教育背景

　　2017.09 - 2021.06，美国加州大学戴维斯分校，电子计算机工程，博士

　　2013.09 – 2017.06，中国科学技术大学，物理学，学士

　　

　　工作经历

　　2025.02 - 至今，中山大学网络空间安全学院，副教授，博导

　　2023.04 - 2025.02，之江实验室，高级研究专员

　　2021.08 - 2022.08，腾讯，高级研究员

　　

　　代表性论文

  1. Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, et al. Contextual Bandits for Unbounded Context Distributions. International Conference on Machine Learning (ICML) 2025.
  2. Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Shaowei Wang, Zhe Liu, Yunjun Gao. An Attack-Agnostic Defense Framework Against Manipulation Attacks under Local Differential Privacy. IEEE S&P, 2025.
  3. Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li. Enhancing Learning with Label Differential Privacy by Vector Approximation. International Conference on Learning Representations (ICLR) 2025.（入选Spotlight论文，比例5.1%）
  4. Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu. A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. Neural Information Processing Systems (NeurIPS) 2024.
  5. Puning Zhao, Lifeng Lai. Minimax Optimal Q Learning with Nearest Neighbors. IEEE Transactions on Information Theory (TIT). 2025.
  6. Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li. Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. AAAI Conference on Artificial Intelligence (AAAI) 2025.
  7. Puning Zhao, Fei Yu, Zhiguo Wan. A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. AAAI Conference on Artificial Intelligence (AAAI) 2024.
  8. Puning Zhao, Zhiguo Wan. Robust Nonparametric Regression under Poisoning Attack. AAAI Conference on Artificial Intelligence (AAAI) 2024.
  9. Puning Zhao, Lifeng Lai. Analysis of KNN Density Estimation. IEEE Transactions on Information Theory (TIT). Dec 2022.
  10. Puning Zhao, Lifeng Lai. Efficient Classification with Adaptive KNN. AAAI Conference on Artificial Intelligence (AAAI) 2021.
  11. Puning Zhao, Lifeng Lai. Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression. IEEE Transactions on Information Theory (TIT). May 2021.
  12. Puning Zhao, Lifeng Lai. Minimax Optimal Estimation of KL Divergence for Continuous Distributions. IEEE Transactions on Information Theory. Dec 2020.
  13. Puning Zhao, Lifeng Lai. Analysis of KNN Information Estimators for Smooth Distributions. IEEE Transactions on Information Theory . June 2020.

　　

　　代表性专利

　　吴慧雯,李霄涵,张德义,吴佳飞,赵朴凝,刘哲.《一种基于梯度压缩的大语言模型联邦微调方法和装置》，ZL202410806598.7

　　

　　学术兼职

　　论文审稿人：IEEE Transactions on Information Theory (TIT)，IEEE Transactions on Information Forensics and Security (TIFS), International Conference on Machine Learning (ICML), Neural Information Processing System (NeurIPS), International Conference on Learning Representations (ICLR)等