| PrivacyFL: A simulator for privacy-preserving and secure federated learning V Mugunthan, A Peraire-Bueno, L Kagal 29th ACM International Conference on Information & Knowledge Management, 2020 | 26 | 2020 |
| BlockFLow: Decentralized, privacy-preserving, and accountable federated machine learning V Mugunthan, R Rahman, L Kagal International Congress on Blockchain and Applications, 233-242, 2021 | 13* | 2021 |
| SMPAI: Secure Multi-Party Computation for Federated Learning V Mugunthan, A Polychroniadou, D Byrd, TH Balch | 11 | 2019 |
| Shade: A differentially-private wrapper for enterprise big data A Heifetz, V Mugunthan, L Kagal 2017 IEEE International Conference on Big Data (Big Data), 1033-1042, 2017 | 5 | 2017 |
| Dpd-infogan: Differentially private distributed infogan V Mugunthan, V Gokul, L Kagal, S Dubnov Proceedings of the 1st Workshop on Machine Learning and Systems, 1-6, 2021 | 2 | 2021 |
| Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets V Mugunthan, V Gokul, L Kagal, S Dubnov arXiv preprint arXiv:2103.09876, 2021 | 2 | 2021 |
| Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy D Byrd, V Mugunthan, A Polychroniadou, TH Balch arXiv preprint arXiv:2202.09897, 2022 | 1 | 2022 |
| Gradient Masked Averaging for Federated Learning I Tenison, SA Sreeramadas, V Mugunthan, E Oyallon, E Belilovsky, I Rish arXiv preprint arXiv:2201.11986, 2022 | 1 | 2022 |
| Multi-vfl: A vertical federated learning system for multiple data and label owners V Mugunthan, P Goyal, L Kagal arXiv preprint arXiv:2106.05468, 2021 | 1 | 2021 |
| Prior-Independent Auctions for the Demand Side of Federated Learning A Haupt, V Mugunthan arXiv preprint arXiv:2103.14375, 2021 | | 2021 |
| Utility-Enhancing Flexible Mechanisms for Differential Privacy V Mugunthan, W Xiao, L Kagal International Conference on Privacy in Statistical Databases, 74-90, 2020 | | 2020 |
| Improving the adaptability of differential privacy V Mugunthan Massachusetts Institute of Technology, 2019 | | 2019 |
| Poster: Novel strategies to calculate the privacy loss parameter in Differential Privacy V Mugunthan, W Xiao, L Kagal IEEE Symposium on Security and Privacy 2019, 2019 | | 2019 |
| Analysis of New L5 Algorithm Embedded with Modified AES Algorithm in Address Allocation Schemes V Mugunthan, N Bhalaji Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 …, 2016 | | 2016 |
| Gradient Masking for Generalization in Heterogenous Federated Learning I Tenison, SA Sreeramadas, V Mugunthan, E Belilovsky, I Rish | | |
Lalana KagalMassachusetts Institute of TechnologyVerified email at csail.mit.edu
