Zhikun Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NDSS | PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data. | Quan Yuan, Xiaochen Li, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen, Zhikun Zhang |
| 2026 | NDSS | VICTOR: Dataset Copyright Auditing in Video Recognition Systems. | Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen |
| 2026 | SP | Consistent Estimation of Numerical Distributions Under Local Differential Privacy by Wavelet Expansion. | Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu |
| 2025 | ICDE | Privacy-Preserving Triangle Counting in Directed Graphs. | Ziyao Wei, Qing Liu, Zhikun Zhang, Shouling Ji, Yunjun Gao |
| 2025 | ICLR | Enhancing Learning with Label Differential Privacy by Vector Approximation. | Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li |
| 2025 | WWW | ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. | Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang |
| 2025 | SP | SoK: Dataset Copyright Auditing in Machine Learning Systems. | Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang |
| 2025 | SP | Rigging the Foundation: Manipulating Pre-training for Advanced Membership Inference Attacks. | Zihao Wang, Rui Zhu, Zhikun Zhang, Haixu Tang, XiaoFeng Wang |
| 2025 | SP | An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. | Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao |
| 2024 | AsiaCCS | PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems. | Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang |
| 2024 | AsiaCCS | FAKEPCD: Fake Point Cloud Detection via Source Attribution. | Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang |
| 2024 | CCS | The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. | Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, Zhikun Zhang, Xiaofeng Wang, Haixu Tang |
| 2024 | CCS | S | Bokang Zhang, Yanglin Zhang, Zhikun Zhang, Jinglan Yang, Lingying Huang, Junfeng Wu |
| 2024 | ICDE | Real-Time Trajectory Synthesis with Local Differential Privacy. | Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | NDSS | ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. | Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang |
| 2024 | NDSS | LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors. | Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen |
| 2023 | ACSAC | Differentially Private Resource Allocation. | Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li |
| 2023 | CCS | DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. | Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen |
| 2023 | ICML | Generated Graph Detection. | Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang |
| 2023 | KDD | CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. | Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao |
| 2022 | CCS | Graph Unlearning. | Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang |
| 2022 | CCS | On the Privacy Risks of Cell-Based NAS Architectures. | Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang |
| 2022 | CCS | Finding MNEMON: Reviving Memories of Node Embeddings. | Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini |
| 2021 | CCS | Continuous Release of Data Streams under both Centralized and Local Differential Privacy. | Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha |
| 2021 | CCS | When Machine Unlearning Jeopardizes Privacy. | Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang |
| 2021 | CCS | AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. | Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen |
| 2021 | ICPADS | Iris Protection with Verisimilar Feature Structure. | Jun Gu, Heng Zhang, Zhikun Zhang, Jian Zhang, Hongran Li |
| 2018 | CCS | CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. | Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen |
| 2017 | GLOBECOM | Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy. | Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi |
| 2015 | MASS | Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks. | Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng |