Kritika Prakash

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	All	Since 2020
Citations	293	292
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i10-index	3	3

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20192020202120222023202420251 1 17 60 87 116 11

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Andrew TraskUniversity of Oxford and OpenMinedVerified email at openmined.org
Alexander ZillerTechnische Universität MünchenVerified email at tum.de
Georgios KaissisGoogle DeepMindVerified email at google.com
Théo RyffelEcole Normale SupérieureVerified email at ens.fr
Emma BluemkeUniversity of OxfordVerified email at dtc.ox.ac.uk
Zarreen Naowal RezaSenior AI Research ScientistVerified email at uwindsor.ca
Jonathan Passerat-PalmbachImperial College London, FlashbotsVerified email at imperial.ac.uk
Praveen ParuchuriAssociate Professor, IIIT HyderabadVerified email at iiit.ac.in
Sujit GujarInternational Institute of Information Technology, HyderabadVerified email at iiit.ac.in
Dmitrii UsyninImperial College London, TU MunichVerified email at ic.ac.uk
Moritz KnolleTechnical University of Munich, Institute for Ai in Medicine & HealthcareVerified email at tum.de
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Fiza HusainInternational Institute of Information Technology, HyderabadVerified email at students.iiit.ac.in
George-Cristian MuraruResearch Engineer at Google DeepMindVerified email at google.com
Madhava JayOpenMinedVerified email at madhavajay.com
Dr. Adam James HallDirector - Xanadu Cybersecurity and Intelligent SystemsVerified email at napier.ac.uk
Bogdan CebereResearch engineerVerified email at cispa.de
Tudor CebereInriaVerified email at inria.fr
Ayoub BenaissaÉcole Supérieure en Informatique - Sidi Bel AbbèsVerified email at esi-sba.dz
Chinmay ShahNMIMS UniversityVerified email at nmims.edu.in

Kritika Prakash

Microsoft Research

Verified email at uchicago.edu - Homepage

Reinforcement Learning Differential Privacy Adversarial Attacks Machine Learning


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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	233	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	13	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	12	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	8	2022
Federated Learning Systems A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ... Cham: Springer, 111-139, 2021	8	2021
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	5	2021
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	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
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	3	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

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