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Puning Zhao

15 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

AAAI ×6NeurIPS ×3S&P ×3ICML ×2ICLR ×1

Frequent coauthors

Li Shen
×7
Zhe Liu
×5
Shaowei Wang
×4
Jiafei Wu
×4
Rongfei Fan
×4
Zhikun Zhang
×3
Zong Ke
×3
Qixin Zhang
×3
Qingming Li
×3
Tianhang Zheng
×2
Can Jin
×2
Yao Shu
×2

Papers

  1. Consistent Estimation of Numerical Distributions Under Local Differential Privacy by Wavelet Expansion
    S&P 2026 · Puning Zhao,
    Zhikun Zhang
    ,
    Bo Sun
    ,
    Li Shen
    ,
    Liang Zhang
    ,
    Shaowei Wang
    ,
    Zhe Liu
  2. High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
    AAAI 2026 ·
    Wenyu Liu
    ,
    Tianqiang Huang
    ,
    Pengfei Zhang
    ,
    Zong Ke
    ,
    Minghui Min
    , Puning Zhao
  3. Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
    AAAI 2026 ·
    Kaichen Ouyang
    ,
    Zong Ke
    ,
    Shengwei Fu
    ,
    Lingjie Liu
    , Puning Zhao,
    Dayu Hu
  4. MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies
    AAAI 2026 ·
    Weiwei Qi
    ,
    Shuo Shao
    ,
    Wei Gu
    ,
    Tianhang Zheng
    , Puning Zhao,
    Zhan Qin
    ,
    Kui Ren
  5. Sparse Estimation Under Local Differential Privacy at All Privacy Levels
    S&P 2026 · Puning Zhao,
    Qingqing Ye
    ,
    Shaowei Wang
    ,
    Jun Feng
    ,
    Sheng Yue
    ,
    Zhen Chen
    ,
    Xiaochun Cao
  6. An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy
    S&P 2025 · Puning Zhao,
    Zhikun Zhang
    ,
    Jiawei Dong
    ,
    Jiafei Wu
    ,
    Zhe Liu
    ,
    Shaowei Wang
    ,
    Yunjun Gao
  7. Contextual Bandits for Unbounded Context Distributions
    ICML 2025 · Puning Zhao,
    Rongfei Fan
    ,
    Shaowei Wang
    ,
    Li Shen
    ,
    Qixin Zhang
    ,
    Zong Ke
    ,
    Tianhang Zheng
  8. Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
    AAAI 2025 · Puning Zhao,
    Jiafei Wu
    ,
    Zhe Liu
    ,
    Chong Wang
    ,
    Rongfei Fan
    ,
    Qingming Li
  9. Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
    NeurIPS 2025 ·
    Qixin Zhang
    ,
    Yan Sun
    ,
    Can Jin
    ,
    Xikun Zhang
    ,
    Yao Shu
    , Puning Zhao,
    Li Shen
    ,
    Dacheng Tao
  10. Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
    NeurIPS 2025 ·
    Shiyuan Zuo
    ,
    Xingrun Yan
    ,
    Rongfei Fan
    ,
    Li Shen
    , Puning Zhao,
    Jie Xu
    ,
    Han Hu
  11. Enhancing Learning with Label Differential Privacy by Vector Approximation
    ICLR 2025 · Puning Zhao,
    Jiafei Wu
    ,
    Zhe Liu
    ,
    Li Shen
    ,
    Zhikun Zhang
    ,
    Rongfei Fan
    ,
    Le Sun
    ,
    Qingming Li
  12. Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
    ICML 2025 ·
    Qixin Zhang
    ,
    Wei Huang
    ,
    Can Jin
    , Puning Zhao,
    Yao Shu
    ,
    Li Shen
    ,
    Dacheng Tao
  13. A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
    AAAI 2024 · Puning Zhao,
    Fei Yu
    ,
    Zhiguo Wan
  14. A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
    NeurIPS 2024 · Puning Zhao,
    Lifeng Lai
    ,
    Li Shen
    ,
    Qingming Li
    ,
    Jiafei Wu
    ,
    Zhe Liu
  15. Robust Nonparametric Regression under Poisoning Attack
    AAAI 2024 · Puning Zhao,
    Zhiguo Wan