| Position: TrustLLM: Trustworthiness in Large Language Models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... ICML 2024, 20166-20270, 2024 | 265* | 2024 |
| When Machine Unlearning Jeopardizes Privacy M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang ACM CCS 2021, 896-911, 2021 | 248 | 2021 |
| Graph Unlearning M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang ACM CCS 2022, 2022 | 169 | 2022 |
| 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 | 153 | 2018 |
| {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 | 150 | 2022 |
| Inference Attacks Against Graph Neural Networks Z Zhang, M Chen, M Backes, Y Shen, Y Zhang USENIX Security 2022, 1-18, 2022 | 134 | 2022 |
| 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 | 120 | 2021 |
| 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 | 78 | 2018 |
| 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 | 71 | 2021 |
| 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 | 71 | 2017 |
| LDPTrace: Locally Differentially Private Trajectory Synthesis Y Du, Y Hu, Z Zhang, Z Fang, L Chen, B Zheng, Y Gao VLDB 2023, 2023 | 42 | 2023 |
| 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 | 40 | 2020 |
| 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 | 38 | 2022 |
| 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 | 34 | 2015 |
| 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 | 33 | 2021 |
| PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information Q Yuan, Z Zhang, L Du, M Chen, P Cheng, M Sun USENIX Security 2023, 2023 | 25* | 2023 |
| 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 | 23 | 2022 |
| 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 | 22 | 2017 |
| 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 | 21 | 2022 |
| DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges N Li, Z Zhang, T Wang Journal of Privacy and Confidentiality, 2021 | 17 | 2021 |
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
