| LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation JC Zhao, A Sharma, AR Elkordy, YH Ezzeldin, S Avestimehr, S Bagchi 2024 IEEE Symposium on Security and Privacy (SP), 30-30, 2024 | 17* | 2024 |
| The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning JC Zhao, AR Elkordy, A Sharma, YH Ezzeldin, S Avestimehr, S Bagchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Tesseract: Gradient flip score to secure federated learning against model poisoning attacks A Sharma, W Chen, J Zhao, Q Qiu, S Chaterji, S Bagchi arXiv preprint arXiv:2110.10108, 2021 | 4 | 2021 |
| Flair: Defense against model poisoning attack in federated learning A Sharma, W Chen, J Zhao, Q Qiu, S Bagchi, S Chaterji Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 3 | 2023 |
| Thermal management for fpga nodes in hpc systems Y Luo, JC Zhao, A Aggarwal, S Ogrenci-Memik, K Yoshii ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (2 …, 2020 | 2 | 2020 |
| Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning JC Zhao, A Dabholkar, A Sharma, S Bagchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| How to Learn Collaboratively-Federated Learning to Peer-to-Peer Learning and What’s at Stake A Sharma, JC Zhao, W Chen, Q Qiu, S Bagchi, S Chaterji 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | | 2023 |
| P2PRISM-Peer to peer learning with individual prism for secure aggregation A Sharma, W Chen, JC Zhao, Q Qiu, S Bagchi, S Chaterji | | 2022 |
