Zhikun Zhang

According to our database, Zhikun Zhang authored at least 32 papers between 2015 and 2023.

Collaborative distances:

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

2023

Backdoor attacks against deep reinforcement learning based traffic signal control systems.

Heng Zhang, Jun Gu, Zhikun Zhang, Linkang Du, Yongmin Zhang, Yan Ren, Jian Zhang, Hongran Li

Peer Peer Netw. Appl., January, 2023

LDPTrace: Locally Differentially Private Trajectory Synthesis.

Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao

Proc. VLDB Endow., 2023

FAKEPCD: Fake Point Cloud Detection via Source Attribution.

Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2023

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning.

Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang

CoRR, 2023

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information.

Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun

Proceedings of the 32nd USENIX Security Symposium, 2023

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models.

Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

FACE-AUDITOR: Data Auditing in Facial Recognition Systems.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generated Graph Detection.

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Making Watermark Survive Model Extraction Attacks in Graph Neural Networks.

Haiming Wang, Zhikun Zhang, Min Chen, Shibo He

Proceedings of the IEEE International Conference on Communications, 2023

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning.

Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Differentially Private Resource Allocation.

Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.

Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

CoRR, 2022

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Inference Attacks Against Graph Neural Networks.

Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Finding MNEMON: Reviving Memories of Node Embeddings.

Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

On the Privacy Risks of Cell-Based NAS Architectures.

Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Graph Unlearning.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges.

Tianhao Wang, Ninghui Li, Zhikun Zhang

J. Priv. Confidentiality, 2021

PrivSyn: Differentially Private Data Synthesis.

Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang

Proceedings of the 30th USENIX Security Symposium, 2021

Iris Protection with Verisimilar Feature Structure.

Jun Gu, Heng Zhang, Zhikun Zhang, Jian Zhang, Hongran Li

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

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

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

When Machine Unlearning Jeopardizes Privacy.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

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

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks.

Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng

IEEE Trans. Dependable Secur. Comput., 2020

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning.

Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang

CoRR, 2020

2018

REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing.

Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang

IEEE Trans. Inf. Forensics Secur., 2018

Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things.

Yuyi Sun, Fei Tong, Zhikun Zhang, Shibo He

IEEE Internet Things J., 2018

CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy.

Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing.

Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen

CoRR, 2017

Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy.

Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2015

Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks.

Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng

Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015