Highlights

  • Publications at big four security conferences (17 papers): Security (’24, ’23c, ’23b, ’23a, ’22b, ’22a, ’21), CCS (’23, ’22c, ’22b, ’22a, ’21c, ’21b, ’21a, ’18), NDSS (’24a, ’24b).
  • Publications at other top-tier computer science conferences/journals (5 papers): VLDB (’23), ICML (’23), KDD (‘23), TDSC (’18), TIFS (’18).
  • Corresponding author “#” (6 papers); co-first author “+” (1 paper).

2024

[NDSS’24b, CCF-A, Distinguished Paper Award] LMSanitator: Defending Task-agnostic Backdoors Against Prompt-tuning

Chengkun Wei, Wenlong Meng, Zhikun Zhang#, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
To appear in NDSS 2024

[NDSS’24a, CCF-A] ORL-Auditor: Dataset Auditing in Offline Deep Reinforcement Learning

Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang#
To appear in NDSS 2024

[AsiaCCS’24, CCF-C] FakePCD: Fake Point Cloud Detection via Source Attribution

Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang
To appear in AsiaCCS 2024

2023

[CCS’23, CCF-A] DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

Chengkun Wei, Minghu Zhao, Zhikun Zhang#, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
In Proceedings of ACM CCS 2023

[Security’23c, CCF-A] FACE-AUDITOR: Data Auditing in Facial Recognition Systems

Min Chen, Zhikun Zhang#, Tianhao Wang, Michael Backes, Yang Zhang
In Proceedings of USENIX Security 2023

[Security’23b, CCF-A] PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information

Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
In Proceedings of USENIX Security 2023

[Security’23a, CCF-A] PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model

Haiming Wang, Zhikun Zhang#, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang
In Proceedings of USENIX Security 2023

[VLDB’23, CCF-A] LDPTrace: Locally Differentially Private Trajectory Synthesis

Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao
In Proceedings of VLDB 2023

[KDD’23, CCF-A] 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
In Proceedings of KDD 2023

[ICML’23, CCF-A] Generated Graph Detection

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang
In Proceedings of ICML 2023

[ACSAC’23, CCF-B] Differentially Private Resource Allocation

Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li
In Proceedings of ACSAC 2023

[ICC’23, CCF-C] Making Watermark Survive Model Extraction Attacks in Graph Neural Networks

Haiming Wang, Zhikun Zhang, Min Chen, Shibo He
In Proceedings of IEEE ICC 2023

2022

[Security’22b, CCF-A] Inference Attacks Against Graph Neural Networks

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

[Security’22a, CCF-A] 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

[CCS’22c, CCF-A] 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

[CCS’22b, CCF-A] Graph Unlearning

Min Chen, Zhikun Zhang#, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In Proceedings of ACM CCS 2022

[CCS’22a, CCF-A] 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

[PPNA’22, CCF-C] 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
In Peer-to-Peer Networking and Applications (PPNA), 2022

[FSN’22] Neural Network in Food Analytics

Peihua Ma, Zhikun Zhang, Xiaoxue Jia, Xiaoke Peng, Zhi Zhang, Kevin Tarwa, Cheng-I Wei, Fuguo Liu, Qin Wang
In Food Science and Nutrition, 2022

[FoodChem’22] Deep Learning Accurately Predicts Food Categories and Nutrients Based on Ingredient Statements

Peihua Ma, Zhikun Zhang, Ying Li, Ning Yu, Jiping Sheng, Hande Küçük McGinty, Qin Wang, Jaspreet KC Ahuja
In Food Chemistry, 2022

2021

[Security’21, CCF-A] 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

[CCS’21c, CCF-A] When Machine Unlearning Jeopardize Privacy

Min Chen, Zhikun Zhang+, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In Proceedings of ACM CCS 2021

[CCS’21b, CCF-A] 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

[CCS’21a, CCF-A] 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

[JPC’21] DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges

Ninghui Li, Zhikun Zhang, Tianhao Wang
In Journal of Privacy and Confidentiality (JPC), 2021

Before 2020

[Ph.D. Thesis] Data Utility Optimization for Local Differential Privacy

Zhikun Zhang
Ph.D. Thesis (In Chinese, Nomination Award for Outstanding Doctoral Thesis of Zhejiang University and Zhejiang Province)

[CCS’18, CCF-A] 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

[TIFS’18, CCF-A] 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), 2018

[TDSC’18, CCF-A] 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), 2018

[IoTJ’18, CCF-C] 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, 2018

[GLOBECOM’17, CCF-C] 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 2017

[MASS’15, CCF-C] 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


Technical Report

[arXiv’20] 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’17] LEPA: Incentivizing Long-term Privacy-perserving Data Aggregation in Crowdsensing

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