Junxu Liu

14 papers A* 2A 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
BicKD: Bilateral Contrastive Knowledge Distillation.
CoRR
Jiangnan Zhu, Yukai Xu, Li Xiong, Yixuan Liu, Junxu Liu, Hong Kyu Lee, Yujie Gu
2026 J jnl
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models.
CoRR
Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh, Junxu Liu, Haibo Hu, Yi Zhang
2026 J jnl
Machine Unlearning in Low-Dimensional Feature Subspace.
CoRR
Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu
2026 J jnl
RATR: Optimized Trajectory Release With Temporal Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput.
Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu
2026 J jnl
SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten.
IEEE Trans. Knowl. Data Eng.
Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng
2026 J jnl
United We Defend: Collaborative Membership Inference Defenses in Federated Learning.
CoRR
Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu
2025 J jnl
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning.
CoRR
Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu
2024 A* conf
Cross-silo Federated Learning with Record-level Personalized Differential Privacy.
CCS
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
2024 J jnl
Cross-silo Federated Learning with Record-level Personalized Differential Privacy.
CoRR
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
2023 A* conf
MUter: Machine Unlearning on Adversarially Trained Models.
ICCV
Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin
2023 A conf
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets.
CIKM
Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng
2021 J jnl
Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow.
Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021 J jnl
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow.
Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021 J jnl
Projected Federated Averaging with Heterogeneous Differential Privacy.
Proc. VLDB Endow.
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng