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ORCIDZhikun Zhang 0001
Person information
- affiliation: Stanford University, Palo Alto, CA, USA
- affiliation (former): CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
- affiliation (former): Zhejiang University, Cyber Innovation Joint Research Center, Hangzhou, China
Other persons with the same name
- Zhikun Zhang — disambiguation page
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2020 – today
- 2023
[j6]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): 466-474 (2023)- [j5]Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao:
LDPTrace: Locally Differentially Private Trajectory Synthesis. Proc. VLDB Endow. 16(8): 1897-1909 (2023) - [c21]Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li:
Differentially Private Resource Allocation. ACSAC 2023: 772-786 - [c20]Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen:
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. CCS 2023: 2621-2635 - [c19]Haiming Wang, Zhikun Zhang, Min Chen, Shibo He:
Making Watermark Survive Model Extraction Attacks in Graph Neural Networks. ICC 2023: 57-62 - [c18]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. ICML 2023: 23412-23428 - [c17]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: 626-637 - [c16]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: 1649-1666 - [c15]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: 3241-3258 - [c14]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang:
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium 2023: 7195-7212 - [i22]Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao:
LDPTrace: Locally Differentially Private Trajectory Synthesis. CoRR abs/2302.06180 (2023) - [i21]Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun:
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. CoRR abs/2304.02401 (2023) - [i20]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang:
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. CoRR abs/2304.02782 (2023) - [i19]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 abs/2305.05900 (2023) - [i18]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. CoRR abs/2306.07758 (2023) - [i17]Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang:
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. CoRR abs/2309.03081 (2023) - [i16]Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang:
FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR abs/2312.11213 (2023) - 2022
- [c13]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
Graph Unlearning. CCS 2022: 499-513 - [c12]Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang:
On the Privacy Risks of Cell-Based NAS Architectures. CCS 2022: 1427-1441 - [c11]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: 2643-2657 - [c10]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: 4525-4542 - [c9]Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang:
Inference Attacks Against Graph Neural Networks. USENIX Security Symposium 2022: 4543-4560 - [i15]Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini:
Finding MNEMON: Reviving Memories of Node Embeddings. CoRR abs/2204.06963 (2022) - [i14]Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang:
On the Privacy Risks of Cell-Based NAS Architectures. CoRR abs/2209.01688 (2022) - [i13]Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang:
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR abs/2210.00581 (2022) - 2021
- [j4]Tianhao Wang, Ninghui Li, Zhikun Zhang:
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. J. Priv. Confidentiality 11(2) (2021) - [c8]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
When Machine Unlearning Jeopardizes Privacy. CCS 2021: 896-911 - [c7]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: 1237-1253 - [c6]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: 1266-1288 - [c5]Jun Gu, Heng Zhang, Zhikun Zhang, Jian Zhang, Hongran Li:
Iris Protection with Verisimilar Feature Structure. ICPADS 2021: 396-401 - [c4]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: 929-946 - [i12]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 abs/2102.02551 (2021) - [i11]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
Graph Unlearning. CoRR abs/2103.14991 (2021) - [i10]Ninghui Li, Zhikun Zhang, Tianhao Wang:
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges. CoRR abs/2106.12949 (2021) - [i9]Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang:
Inference Attacks Against Graph Neural Networks. CoRR abs/2110.02631 (2021) - [i8]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 abs/2110.07505 (2021) - 2020
- [j3]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): 236-247 (2020) - [i7]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
When Machine Unlearning Jeopardizes Privacy. CoRR abs/2005.02205 (2020) - [i6]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 abs/2005.11753 (2020) - [i5]Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang:
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. CoRR abs/2009.04872 (2020) - [i4]Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang:
PrivSyn: Differentially Private Data Synthesis. CoRR abs/2012.15128 (2020)
2010 – 2019
- 2018
- [j2]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): 1485-1493 (2018) - [j1]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): 2995-3007 (2018) - [c3]Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen:
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. CCS 2018: 212-229 - 2017
- [c2]Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi:
Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy. GLOBECOM 2017: 1-6 - [i3]Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi:
Re-DPoctor: Real-time health data releasing with w-day differential privacy. CoRR abs/1711.00232 (2017) - [i2]Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang:
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. CoRR abs/1711.00757 (2017) - [i1]Zhikun Zhang, Shibo He, Mengyuan Zhang, Jiming Chen:
LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing. CoRR abs/1712.08807 (2017) - 2015
- [c1]Zhikun Zhang, Heng Zhang, Shibo He, Peng Cheng:
Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks. MASS 2015: 181-189
Coauthor Index
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