Zhikun Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Cognitive Radio Networks

Utility Maximization

Differential Privacy

Reinforcement Learning

Top Venues

USENIX Security Symposium

Publications

Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
Real-Time Trajectory Synthesis with Local Differential Privacy. CoRR (2024)
Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
FAKEPCD: Fake Point Cloud Detection via Source Attribution. AsiaCCS (2024)
Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
Real-Time Trajectory Synthesis with Local Differential Privacy. ICDE (2024)
Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang
PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems. AsiaCCS (2024)
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. USENIX Security Symposium (2023)
Haiming Wang, Zhikun Zhang, Min Chen, Shibo He
Making Watermark Survive Model Extraction Attacks in Graph Neural Networks. ICC (2023)
Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li
Differentially Private Resource Allocation. ACSAC (2023)
Heng Zhang, Jun Gu, Zhikun Zhang, Linkang Du, Yongmin Zhang, Yan Ren, Jian Zhang, Hongran Li
Backdoor attacks against deep reinforcement learning based traffic signal control systems. Peer Peer Netw. Appl. 16 (1) (2023)
Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium (2023)
Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. CoRR (2023)
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. CoRR (2023)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium (2023)
Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR (2023)
Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao
CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. KDD (2023)
Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. CoRR (2023)
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
Inference Attacks Against Graph Neural Networks. USENIX Security Symposium (2022)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium (2022)
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
On the Privacy Risks of Cell-Based NAS Architectures. CCS (2022)
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
Finding MNEMON: Reviving Memories of Node Embeddings. CoRR (2022)
Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR (2022)
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
Finding MNEMON: Reviving Memories of Node Embeddings. CCS (2022)
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
On the Privacy Risks of Cell-Based NAS Architectures. CoRR (2022)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CCS (2022)
Ninghui Li, Zhikun Zhang, Tianhao Wang
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. CoRR (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CoRR (2021)
Jun Gu, Heng Zhang, Zhikun Zhang, Jian Zhang, Hongran Li
Iris Protection with Verisimilar Feature Structure. ICPADS (2021)
Tianhao Wang, Ninghui Li, Zhikun Zhang
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. J. Priv. Confidentiality 11 (2) (2021)
Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CCS (2021)
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
Inference Attacks Against Graph Neural Networks. CoRR (2021)
Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CCS (2021)
Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CCS (2021)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR (2021)
Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CoRR (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CoRR (2020)
Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng
Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks. IEEE Trans. Dependable Secur. Comput. 17 (2) (2020)
Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. CoRR (2020)
Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha
Continuous Release of Data Streams under both Centralized and Local Differential Privacy. CoRR (2020)
Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
PrivSyn: Differentially Private Data Synthesis. CoRR (2020)
Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. IEEE Trans. Inf. Forensics Secur. 13 (12) (2018)
Yuyi Sun, Fei Tong, Zhikun Zhang, Shibo He
Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things. IEEE Internet Things J. 5 (3) (2018)
Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. CCS (2018)
Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen
LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing. CoRR (2017)
Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi
Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy. GLOBECOM (2017)
Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. CoRR (2017)
Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi
Re-DPoctor: Real-time health data releasing with w-day differential privacy. CoRR (2017)
Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng
Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks. MASS (2015)