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Zhikun Zhang
Zhikun Zhang
CISPA Helmholtz Center for Information Security
Verified email at cispa.de - Homepage
Title
Cited by
Cited by
Year
When Machine Unlearning Jeopardizes Privacy
M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang
ACM CCS 2021, 896-911, 2021
1712021
CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy
Z Zhang, T Wang, N Li, S He, J Chen
ACM CCS 2018, 212-229, 2018
1292018
{ML-Doctor}: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Y Liu, R Wen, X He, A Salem, Z Zhang, M Backes, E De Cristofaro, M Fritz, ...
USENIX Security 2022, 4525-4542, 2022
1012022
Graph Unlearning
M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang
ACM CCS 2022, 2022
912022
Inference Attacks Against Graph Neural Networks
Z Zhang, M Chen, M Backes, Y Shen, Y Zhang
USENIX Security 2022, 1-18, 2022
882022
PrivSyn: Differentially Private Data Synthesis
Z Zhang, T Wang, J Honorio, N Li, M Backes, S He, J Chen, Y Zhang
USENIX Security 2021, 2021
882021
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing
Z Zhang, S He, J Chen, J Zhang
IEEE Transactions on Information Forensics and Security 13 (12), 2995-3007, 2018
732018
Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things
Y Sun, F Tong, Z Zhang, S He
IEEE Internet of Things Journal 5 (3), 1485-1493, 2017
662017
TrustLLM: Trustworthiness in Large Language Models
L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ...
ICML 2024, 2024
592024
Continuous Release of Data Streams under both Centralized and Local Differential Privacy
T Wang, JQ Chen, Z Zhang, D Su, Y Cheng, Z Li, N Li, S Jha
ACM CCS 2021, 1237-1253, 2021
532021
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks Against Transfer Learning
Y Zou, Z Zhang, M Backes, Y Zhang
arXiv preprint arXiv:2009.04872, 2020
372020
Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-driven Cognitive Radio Networks
Z Zhang, H Zhang, S He, P Cheng
2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems …, 2015
352015
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L Du, Z Zhang, S Bai, C Liu, S Ji, P Cheng, J Chen
ACM CCS 2021, 1266-1288, 2021
232021
Bilateral Privacy-preserving Utility Maximization Protocol in Database-driven Cognitive Radio Networks
Z Zhang, H Zhang, S He, P Cheng
IEEE transactions on dependable and secure computing 17 (2), 236-247, 2017
222017
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model
H Wang, Z Zhang, T Wang, S He, M Backes, J Chen, Y Zhang
USENIX Security 2023, 2022
192022
LDPTrace: Locally Differentially Private Trajectory Synthesis
Y Du, Y Hu, Z Zhang, Z Fang, L Chen, B Zheng, Y Gao
VLDB 2023, 2023
152023
Deep Learning Accurately Predicts Food Categories and Nutrients based on Ingredient Statements
P Ma, Z Zhang, Y Li, N Yu, J Sheng, HK McGinty, Q Wang, JKC Ahuja
Food Chemistry 391, 133243, 2022
152022
Neural Network in Food Analytics
P Ma, Z Zhang, X Jia, X Peng, Z Zhang, K Tarwa, CI Wei, F Liu, Q Wang
Critical Reviews in Food Science and Nutrition, 1-19, 2022
132022
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
N Li, Z Zhang, T Wang
Journal of Privacy and Confidentiality, 2021
132021
Re-DPoctor: Real-time Health Data Releasing with w-day Differential Privacy
J Zhang, X Liang, Z Zhang, S He, Z Shi
IEEE GLOBECOM 2017, 1-6, 2017
132017
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