Junxu Liu

According to our database, Junxu Liu authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten.

Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng

IEEE Trans. Knowl. Data Eng., May, 2026

BicKD: Bilateral Contrastive Knowledge Distillation.

Jiangnan Zhu, Yukai Xu, Li Xiong, Yixuan Liu, Junxu Liu, Hong Kyu Lee, Yujie Gu

CoRR, February, 2026

Machine Unlearning in Low-Dimensional Feature Subspace.

Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu

CoRR, January, 2026

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models.

Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh, Junxu Liu, Haibo Hu, Yi Zhang

CoRR, January, 2026

United We Defend: Collaborative Membership Inference Defenses in Federated Learning.

Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu

CoRR, January, 2026

RATR: Optimized Trajectory Release With Temporal Local Differential Privacy.

Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu

IEEE Trans. Dependable Secur. Comput., 2026

2025

SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning.

Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu

CoRR, November, 2025

2024

Cross-silo Federated Learning with Record-level Personalized Differential Privacy.

Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng

Dataset, April, 2024

Cross-silo Federated Learning with Record-level Personalized Differential Privacy.

Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

MUter: Machine Unlearning on Adversarially Trained Models.

Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets.

Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.

Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun

Proc. VLDB Endow., 2021

Projected Federated Averaging with Heterogeneous Differential Privacy.

Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng

Proc. VLDB Endow., 2021

Dealer: An End-to-End Model Marketplace with Differential Privacy.

Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun

Proc. VLDB Endow., 2021