2022

Graph Unlearning
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
To appear in ACM CCS 2022 [ArXiv]

Finding MNEMON: Reviving Memories of Node Embeddings
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
To appear in ACM CCS 2022 [ArXiv]

Inference Attacks Against Graph Neural Networks
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
To appear in USENIX Security 2022 [ArXiv]

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
To appear in USENIX Security 2022 [ArXiv]

2021

When Machine Unlearning Jeopardize Privacy
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In Proceedings of ACM CCS 2021 [ArXiv]

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 [ArXiv]

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 [ArXiv]

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 [ArXiv][Slides][Video]

DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
Ninghui Li, Zhikun Zhang, Tianhao Wang
In Journal of Privacy and Confidentiality (JPC) [ArXiv]

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 [ArXiv]

2019

Data Utility Optimization for Local Differential Privacy
Zhikun Zhang
Ph.D. Thesis (in Chinese) [PDF]

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 [PDF][Video]

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) [PDF]

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) [PDF]

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 [PDF]

2017

LEPA: Incentivizing Long-term Privacy-perserving Data Aggregation in Crowdsensing
Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen
Technical report [ArXiv]

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 [PDF]

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 [PDF]