| A deep reinforcement learning based offloading game in edge computing Y Zhan, S Guo, P Li, J Zhang IEEE Transactions on Computers 69 (6), 883-893, 2020 | 235 | 2020 |
| An incentive mechanism design for efficient edge learning by deep reinforcement learning approach Y Zhan, J Zhang IEEE INFOCOM 2020-IEEE conference on computer communications, 2489-2498, 2020 | 117 | 2020 |
| Free market of multi-leader multi-follower mobile crowdsensing: An incentive mechanism design by deep reinforcement learning Y Zhan, CH Liu, Y Zhao, J Zhang, J Tang IEEE Transactions on Mobile Computing 19 (10), 2316-2329, 2019 | 108 | 2019 |
| How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? AR Elkordy, J Zhang, YH Ezzeldin, K Psounis, S Avestimehr 23rd Privacy Enhancing Technologies Symposium (PETS 2023), 2022 | 59 | 2022 |
| A novel learning-based global path planning algorithm for planetary rovers J Zhang, Y Xia, G Shen Neurocomputing 361, 69-76, 2019 | 57 | 2019 |
| Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models J Zhang, Q Wu, Y Xu, C Cao, Z Du, K Psounis The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), 2023 | 46 | 2023 |
| {SANRAZOR}: Reducing redundant sanitizer checks in {C/C++} programs J Zhang, S Wang, M Rigger, P He, Z Su 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021 | 46 | 2021 |
| An incentive mechanism design for mobile crowdsensing with demand uncertainties Y Zhan, Y Xia, J Zhang, T Li, Y Wang Information Sciences 528, 1-16, 2020 | 41 | 2020 |
| Crowdtraining: Architecture and incentive mechanism for deep learning training in the internet of things Y Zhan, J Zhang, P Li, Y Xia IEEE Network 33 (5), 89-95, 2019 | 22 | 2019 |
| HARPO: Learning to Subvert Online Behavioral Advertising J Zhang, K Psounis, M Haroon, Z Shafiq Network and Distributed System Security (NDSS) Symposium 2022, 2021 | 11 | 2021 |
| Location leakage in federated signal maps E Bakopoulou, M Yang, J Zhang, K Psounis, A Markopoulou IEEE Transactions on Mobile Computing 23 (6), 6936-6953, 2023 | 8 | 2023 |
| Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation J Zhang, L Clark, M Clark, K Psounis, P Kairouz Computer Networks 215, 2022 | 8 | 2022 |
| A Utility-Preserving Obfuscation Approach for YouTube Recommendations J Zhang, H Askari, K Psounis, Z Shafiq 23rd Privacy Enhancing Technologies Symposium (PETS 2023), 2022 | 6 | 2022 |
| Crowdsensing game with demand uncertainties: A deep reinforcement learning approach Y Zhan, Y Xia, J Zhang, T Li, Y Wang arXiv preprint arXiv:1901.00733, 2018 | 6 | 2018 |
| Preserving privacy and utility in llm-based product recommendations T Khezresmaeilzadeh, J Zhang, D Andreadis, K Psounis arXiv preprint arXiv:2505.00951, 2025 | 4 | 2025 |
| Differentially private federated learning without noise addition: When is it possible? J Zhang, K Psounis, S Avestimehr arXiv preprint arXiv:2405.04551, 2024 | 1 | 2024 |
| Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation J Zhang, S Kumar, W Chang, Y Wang, F Zhang, W Mao, H Yu, A Singh, ... KDD 2025 (ADS Track), 2025 | | 2025 |
| SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models J Zhang, R Sequeira, K Psounis The 25th Privacy Enhancing Technologies Symposium (PETS 2025), 2025 | | 2025 |
| Optimizing Privacy-Utility Trade-offs in AI-enabled Network Applications J Zhang University of Southern California, 2024 | | 2024 |
Konstantinos PsounisProfessor of Electrical and Computer Engineering and Computer Science, University of SouthernVerified email at usc.edu
