Zhikun Zhang - RankMe

89 papers A* 30A 3B 3Journal 52Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A2E: Black-Box Anti-Adversarial Example Based Watermarking to Verify Federated Unlearning. IEEE Trans. Dependable Secur. Comput. Xiangshan Gao, Jingyi Wang, Zhikun Zhang, Jialuo Chen, Peng Cheng, Jiming Chen
2026	J	`jnl`	CIBPU: A Conflict-Invisible Secure Branch Prediction Unit. IEEE Trans. Inf. Forensics Secur. Zhe Zhou, Xiaoyu Cheng, Fang Jiang, Fei Tong, Hongyu Wang, Zhikun Zhang, Yuxing Mao
2026	J	`jnl`	DWBench: Holistic Evaluation of Watermark for Dataset Copyright Auditing. CoRR Xiao Ren, Xinyi Yu, Linkang Du, Min Chen, Yuanchao Shu, Zhou Su, Yunjun Gao, Zhikun Zhang
2026	J	`jnl`	KUDA: Knowledge Unlearning by Deviating Representation for Large Language Models. CoRR Ce Fang, Zhikun Zhang, Min Chen, Qing Liu, Lu Zhou, Zhe Liu, Yunjun Gao
2026	J	`jnl`	Locally Differentially Private Truth Discovery for Sparse Crowdsensing. IEEE Trans. Knowl. Data Eng. Pengfei Zhang, Zhikun Zhang, Yang Cao, Xiang Cheng, Youwen Zhu, Zhiquan Liu, Ji Zhang
2026	J	`jnl`	Revealing the Risk of Hyper-Parameter Leakage in Deep Reinforcement Learning Models. IEEE Trans. Dependable Secur. Comput. Linkang Du, Zhikun Zhang, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Michael Backes, Yang Zhang
2025	A*	`conf`	An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. SP Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao
2025	A*	`conf`	ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. WWW Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2025	J	`jnl`	ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. CoRR Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2025	J	`jnl`	Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion. CoRR Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu
2025	A*	`conf`	Enhancing Learning with Label Differential Privacy by Vector Approximation. ICLR Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li
2025	A*	`conf`	GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors. USENIX Security Symposium Wenlong Meng, Shuguo Fan, Chengkun Wei, Min Chen, Yuwei Li, Yuanchao Zhang, Zhikun Zhang, Wenzhi Chen
2025	J	`jnl`	GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors. CoRR Wenlong Meng, Shuguo Fan, Chengkun Wei, Min Chen, Yuwei Li, Yuanchao Zhang, Zhikun Zhang, Wenzhi Chen
2025	J	`jnl`	Horizontal multi-party data publishing via discriminator regularization and adaptive noise under differential privacy. Inf. Fusion Pengfei Zhang, Xiang Fang, Zhikun Zhang, Xianjin Fang, Yining Liu, Ji Zhang
2025	J	`jnl`	InferDPT: Privacy-Preserving Inference for Closed-Box Large Language Models. IEEE Trans. Dependable Secur. Comput. Meng Tong, Kejiang Chen, Jie Zhang, Yuang Qi, Weiming Zhang, Nenghai Yu, Tianwei Zhang, Zhikun Zhang
2025	J	`jnl`	Maximizing Area Coverage in Privacy-Preserving Worker Recruitment: A Prior Knowledge-Enhanced Geo-Indistinguishable Approach. IEEE Trans. Inf. Forensics Secur. Pengfei Zhang, Xiang Cheng, Zhikun Zhang, Youwen Zhu, Ji Zhang
2025	J	`jnl`	PrivAGS: Differentially Private Attributed Graph Synthesis. Proc. ACM Manag. Data Shuzhan Ye, Lu Chen, Zhikun Zhang, Yunjun Gao, Yuxiang Wang, Xiaoliang Xu
2025	J	`jnl`	PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data. CoRR Quan Yuan, Xiaochen Li, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen, Zhikun Zhang
2025	J	`jnl`	Privacy-Preserving Recommendations With Mixture Model-Based Matrix Factorization Under Local Differential Privacy. IEEE Trans. Ind. Informatics Pengfei Zhang, Hong Sun, Zhikun Zhang, Xiang Cheng, Youwen Zhu, Ji Zhang
2025	A*	`conf`	Privacy-Preserving Triangle Counting in Directed Graphs. ICDE Ziyao Wei, Qing Liu, Zhikun Zhang, Shouling Ji, Yunjun Gao
2025	A*	`conf`	Rigging the Foundation: Manipulating Pre-training for Advanced Membership Inference Attacks. SP Zihao Wang, Rui Zhu, Zhikun Zhang, Haixu Tang, Xiaofeng Wang
2025	A*	`conf`	Sharpness-Aware Initialization: Improving Differentially Private Machine Learning from First Principles. USENIX Security Symposium Zihao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, Xiaofeng Wang, Haixu Tang
2025	A*	`conf`	SoK: Dataset Copyright Auditing in Machine Learning Systems. SP Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang
2025	J	`jnl`	VICTOR: Dataset Copyright Auditing in Video Recognition Systems. CoRR Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen
2024	A*	`conf`	DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training. USENIX Security Symposium Zihao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, John Mitchell, Haixu Tang, Xiaofeng Wang
2024	J	`jnl`	DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training. CoRR Zihao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, John Mitchell, Haixu Tang, Xiaofeng Wang
2024	A	`conf`	FAKEPCD: Fake Point Cloud Detection via Source Attribution. AsiaCCS Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
2024	A*	`conf`	LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors. NDSS Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
2024	A*	`conf`	ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. NDSS Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2024	A	`conf`	PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems. AsiaCCS Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang
2024	J	`jnl`	PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics. CoRR Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Michael Backes, Shibo He, Ji-ming Chen
2024	A*	`conf`	Real-Time Trajectory Synthesis with Local Differential Privacy. ICDE Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
2024	J	`jnl`	Real-Time Trajectory Synthesis with Local Differential Privacy. CoRR Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
2024	A*	`conf`	S CCS Bokang Zhang, Yanglin Zhang, Zhikun Zhang, Jinglan Yang, Lingying Huang, Junfeng Wu
2024	J	`jnl`	S CoRR Bokang Zhang, Yanglin Zhang, Zhikun Zhang, Jinglan Yang, Lingying Huang, Junfeng Wu
2024	J	`jnl`	SoK: Dataset Copyright Auditing in Machine Learning Systems. CoRR Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang
2024	J	`jnl`	Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System. IEEE Trans. Ind. Informatics Yan Ren, Heng Zhang, Linkang Du, Zhikun Zhang, Jian Zhang, Hongran Li
2024	A*	`conf`	The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. CCS Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, Zhikun Zhang, Xiaofeng Wang, Haixu Tang
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao
2023	J	`jnl`	Backdoor attacks against deep reinforcement learning based traffic signal control systems. Peer Peer Netw. Appl. Heng Zhang, Jun Gu, Zhikun Zhang, Linkang Du, Yongmin Zhang, Yan Ren, Jian Zhang, Hongran Li
2023	A*	`conf`	CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. KDD Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao
2023	A*	`conf`	DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. CCS Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
2023	J	`jnl`	DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. CoRR Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
2023	A	`conf`	Differentially Private Resource Allocation. ACSAC Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li
2023	A*	`conf`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	J	`jnl`	FACE-AUDITOR: Data Auditing in Facial Recognition Systems. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
2023	J	`jnl`	FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
2023	A*	`conf`	Generated Graph Detection. ICML Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	Generated Graph Detection. CoRR Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
2023	J	`jnl`	LDPTrace: Locally Differentially Private Trajectory Synthesis. CoRR Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao
2023	J	`jnl`	LDPTrace: Locally Differentially Private Trajectory Synthesis. Proc. VLDB Endow. Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao
2023	J	`jnl`	LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors. CoRR Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
2023	—	`conf`	Making Watermark Survive Model Extraction Attacks in Graph Neural Networks. ICC Haiming Wang, Zhikun Zhang, Min Chen, Shibo He
2023	J	`jnl`	ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. CoRR Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2023	A*	`conf`	PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. USENIX Security Symposium Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
2023	J	`jnl`	PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. CoRR Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
2023	A*	`conf`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2022	A*	`conf`	Finding MNEMON: Reviving Memories of Node Embeddings. CCS Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
2022	J	`jnl`	Finding MNEMON: Reviving Memories of Node Embeddings. CoRR Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
2022	A*	`conf`	Graph Unlearning. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2022	A*	`conf`	Inference Attacks Against Graph Neural Networks. USENIX Security Symposium Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
2022	A*	`conf`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2022	A*	`conf`	On the Privacy Risks of Cell-Based NAS Architectures. CCS Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
2022	J	`jnl`	On the Privacy Risks of Cell-Based NAS Architectures. CoRR Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
2022	J	`jnl`	PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
2021	A*	`conf`	AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CCS Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2021	J	`jnl`	AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CoRR Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2021	A*	`conf`	Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CCS Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
2021	J	`jnl`	DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. CoRR Ninghui Li, Zhikun Zhang, Tianhao Wang
2021	J	`jnl`	DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. J. Priv. Confidentiality Tianhao Wang, Ninghui Li, Zhikun Zhang
2021	J	`jnl`	Graph Unlearning. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2021	J	`jnl`	Inference Attacks Against Graph Neural Networks. CoRR Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
2021	B	`conf`	Iris Protection with Verisimilar Feature Structure. ICPADS Jun Gu, Heng Zhang, Zhikun Zhang, Jian Zhang, Hongran Li
2021	J	`jnl`	ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
2021	A*	`conf`	PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2021	A*	`conf`	When Machine Unlearning Jeopardizes Privacy. CCS Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2020	J	`jnl`	Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks. IEEE Trans. Dependable Secur. Comput. Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng
2020	J	`jnl`	Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CoRR Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
2020	J	`jnl`	PrivSyn: Differentially Private Data Synthesis. CoRR Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2020	J	`jnl`	Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. CoRR Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang
2020	J	`jnl`	When Machine Unlearning Jeopardizes Privacy. CoRR Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
2018	A*	`conf`	CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. CCS Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen
2018	J	`jnl`	REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. IEEE Trans. Inf. Forensics Secur. Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang
2018	J	`jnl`	Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things. IEEE Internet Things J. Yuyi Sun, Fei Tong, Zhikun Zhang, Shibo He
2017	J	`jnl`	LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing. CoRR Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen
2017	J	`jnl`	REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. CoRR Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang
2017	B	`conf`	Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy. GLOBECOM Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi
2017	J	`jnl`	Re-DPoctor: Real-time health data releasing with w-day differential privacy. CoRR Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi
2015	B	`conf`	Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks. MASS Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng