2023

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model

Haiming Wang, Zhikun Zhang (Corresponding Author), Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
To appear in USENIX Security 2023

2022

On the Privacy Risks of Cell-Based NAS Architectures

Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
In Proceedings of ACM CCS 2022

Graph Unlearning

Min Chen, Zhikun Zhang (Corresponding Author), Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In Proceedings of ACM CCS 2022

Finding MNEMON: Reviving Memories of Node Embeddings

Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
In Proceedings of ACM CCS 2022

Inference Attacks Against Graph Neural Networks

Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
In Proceedings of USENIX Security 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
In Proceedings of USENIX Security 2022

2021

When Machine Unlearning Jeopardize Privacy

Min Chen, Zhikun Zhang (Co-first Author), Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In Proceedings of ACM CCS 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
In Proceedings of ACM CCS 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
In Proceedings of ACM CCS 2021

PrivSyn: Differentially Private Data Synthesis

Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
In Proceedings of USENIX Security 2021

DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges

Ninghui Li, Zhikun Zhang, Tianhao Wang
In Journal of Privacy and Confidentiality (JPC)

2020

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

Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang
Technical Report

2019

Data Utility Optimization for Local Differential Privacy

Zhikun Zhang
Ph.D. Thesis (in Chinese)

2018

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

Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen
In Proceedings of ACM CCS 2018

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

Zhikun Zhang, Shibo He, Junshan Zhang, Jiming Chen
In IEEE Transactions on Information Forensics & Security (TIFS)

Bilateral Privacy-preserving Utility Maximization Protocol in Database-driven Cognitive Radio Networks

Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng
In IEEE Transactions on Dependable and Secure Computing (TDSC)

Throughput Modeling and Analysis of Random Access in Narrow-band Internet of Things

Yuyi Sun, Fei Tong, Zhikun Zhang, Shibo He
In IEEE Internet of Things Journal

2017

LEPA: Incentivizing Long-term Privacy-perserving Data Aggregation in Crowdsensing

Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen
Technical report

Re-DPoctor: Real-time Health Data Releasing with w-day Differential Privacy

Jiajun Zhang, Xiaohui Liang, Shibo He, Zhikun Zhang, Zhiguo Shi
In proceedings of IEEE GLOBECOM

2015

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

Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng
In proceedings of IEEE MASS 2015