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Lulu Xue

6 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICLR ×1IJCAI ×1NeurIPS ×1S&P ×1

Frequent coauthors

Shengshan Hu
×6
Leo Yu Zhang
×6
Minghui Li
×5
Peijin Guo
×3
Yichen Wang
×3
Ziqi Zhou
×3
Yechao Zhang
×2
Hangtao Zhang
×2
Xianlong Wang
×2
Wei Wan
×2
Dezhong Yao
×2
Linqiang Qian
×1

Papers

  1. Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
    AAAI 2026 · Lulu Xue,
    Shengshan Hu
    ,
    Linqiang Qian
    ,
    Peijin Guo
    ,
    Yechao Zhang
    ,
    Minghui Li
    ,
    Yanjun Zhang
    ,
    Dayong Ye
    ,
    Leo Yu Zhang
  2. AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
    NeurIPS 2025 ·
    Yichen Wang
    ,
    Hangtao Zhang
    ,
    Hewen Pan
    ,
    Ziqi Zhou
    ,
    Xianlong Wang
    ,
    Peijin Guo
    , Lulu Xue,
    Shengshan Hu
    ,
    Minghui Li
    ,
    Leo Yu Zhang
  3. BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
    ICLR 2025 ·
    Hangtao Zhang
    ,
    Chenyu Zhu
    ,
    Xianlong Wang
    ,
    Ziqi Zhou
    ,
    Changgan Yin
    ,
    Minghui Li
    , Lulu Xue,
    Yichen Wang
    ,
    Shengshan Hu
    ,
    Aishan Liu
    ,
    Peijin Guo
    ,
    Leo Yu Zhang
  4. DarkFed: A Data-Free Backdoor Attack in Federated Learning
    IJCAI 2024 ·
    Minghui Li
    ,
    Wei Wan
    ,
    Yuxuan Ning
    ,
    Shengshan Hu
    , Lulu Xue,
    Leo Yu Zhang
    ,
    Yichen Wang
  5. Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
    AAAI 2024 · Lulu Xue,
    Shengshan Hu
    ,
    Ruizhi Zhao
    ,
    Leo Yu Zhang
    ,
    Shengqing Hu
    ,
    Lichao Sun
    ,
    Dezhong Yao
  6. Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
    S&P 2024 ·
    Ziqi Zhou
    ,
    Minghui Li
    ,
    Wei Liu
    ,
    Shengshan Hu
    ,
    Yechao Zhang
    ,
    Wei Wan
    , Lulu Xue,
    Leo Yu Zhang
    ,
    Dezhong Yao
    ,
    Hai Jin