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ORCIDJunxu Liu
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2020 – today
- 2026
[j5]Shiyu Zhang
, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu:
RATR: Optimized Trajectory Release With Temporal Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 23(2): 3372-3389 (2026)- [j4]Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng:
SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten. IEEE Trans. Knowl. Data Eng. 38(5): 3182-3195 (2026) - [c4]Pengyun Zhu, Qiheng Sun, Long Wen, Yanbo Wang, Yang Cao, Junxu Liu, Deyi Xiong, Jinfei Liu, Zhibo Wang, Kui Ren:
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation. ACL (1) 2026: 3681-3706 - [i8]Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu:
United We Defend: Collaborative Membership Inference Defenses in Federated Learning. CoRR abs/2601.06866 (2026) - [i7]Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh, Junxu Liu, Haibo Hu, Yi Zhang:
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models. CoRR abs/2601.14330 (2026) - [i6]Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu:
Machine Unlearning in Low-Dimensional Feature Subspace. CoRR abs/2601.22456 (2026) - [i5]Jiangnan Zhu, Yukai Xu, Li Xiong, Yixuan Liu, Junxu Liu, Hong Kyu Lee, Yujie Gu:
BicKD: Bilateral Contrastive Knowledge Distillation. CoRR abs/2602.01265 (2026) - [i4]Pengyun Zhu, Qiheng Sun, Long Wen, Yanbo Wang, Yang Cao, Junxu Liu, Deyi Xiong, Jinfei Liu, Zhibo Wang, Kui Ren:
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation. CoRR abs/2604.27550 (2026) - [i3]Mengyu Sun, Ziyuan Yang, Zunlong Zhou, Junxu Liu, Haibo Hu, Yi Zhang:
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework. CoRR abs/2605.18150 (2026) - 2025
- [i2]Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu:
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning. CoRR abs/2511.09681 (2025) - 2024
- [c3]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CCS 2024: 303-317 - [d1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. Zenodo, 2024
- [i1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR abs/2401.16251 (2024) - 2023
- [c2]Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM 2023: 4140-4144 - [c1]Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin:
MUter: Machine Unlearning on Adversarially Trained Models. ICCV 2023: 4869-4879 - 2021
- [j3]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j2]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15(4): 828-840 (2021)
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