| Pysyft: A library for easy federated learning A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ... Federated Learning Systems: Towards Next-Generation AI, 111-139, 2021 | 183 | 2021 |
| How private is your RL policy? An inverse RL based analysis framework K Prakash, F Husain, P Paruchuri, S Gujar Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8009-8016, 2022 | 11 | 2022 |
| Syft 0.5: A platform for universally deployable structured transparency AJ Hall, M Jay, T Cebere, B Cebere, KL van der Veen, G Muraru, T Xu, ... arXiv preprint arXiv:2104.12385, 2021 | 11 | 2021 |
| ADVISER: AI-Driven vaccination intervention optimiser for increasing vaccine uptake in Nigeria V Nair, K Prakash, M Wilbur, A Taneja, C Namblard, O Adeyemo, A Dubey, ... arXiv preprint arXiv:2204.13663, 2022 | 6 | 2022 |
| Federated Learning Systems A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ... Cham: Springer, 111-139, 2021 | 5 | 2021 |
| VidyutVanika: An Autonomous Broker Agent for Smart Grid Environment S Ghosh, K Prakash, S Chandlekar, E Subramanian, S Bhat, S Gujar, ... Policy, Awareness, Sustainability and Systems Workshop, 5, 2019 | 5 | 2019 |
| Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation A Ziller, D Usynin, M Knolle, K Prakash, A Trask, R Braren, M Makowski, ... arXiv preprint arXiv:2107.04265, 2021 | 4 | 2021 |
| Investigation on Mechanical Properties of Aluminum Metal Matrix Composites–A Review K Karthick, D Bharathidhasan, RA Kumar, FM Jaffarsha, M Sreeraam, ... IOP Conference Series: Materials Science and Engineering 923 (1), 012058, 2020 | 4 | 2020 |
| An automatic differentiation system for the age of differential privacy D Usynin, A Ziller, M Knolle, A Trask, K Prakash, D Rueckert, G Kaissis arXiv preprint arXiv:2109.10573, 2021 | 3 | 2021 |
| Predictrv: A prediction based strategy for negotiations with dynamically changing reservation value AS Gear, K Prakash, N Singh, P Paruchuri International Conference on Group Decision and Negotiation, 135-148, 2020 | 2 | 2020 |
| Towards General-purpose Infrastructure for Protecting Scientific Data Under Study A Trask, K Prakash Privacy Preserving Machine Learning - NeurIPS 2020, 4, 2020 | 1 | 2020 |
| Privacy Attacks in Reinforcement Learning with Sensitive Rewards K Prakash International Institute of Information Technology, Hyderabad, 2022 | | 2022 |
| Privacy Preserving Machine Learning, A Survey K Prakash, S Gujar | | |
Andrew TraskUniversity of Oxford and OpenMined在 openmined.org 的电子邮件经过验证
