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Nikhil Ravi

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Nikhil Ravi
Ph.D. Student Affiliate
Scientific Data Division
Cornell Tech

Nikhil Ravi is a PhD student at Cornell University’s SINE Lab. He received his Masters in Electrical Engineering from Arizona State University in 2021 and Bachelors in Electronics and Communication Engineering from PES Institute of Technology, Bangalore, India in 2017. His research interests lie in Decentralized Adversarial Optimization and Differential Privacy.

Journal Articles

Robert Currie, Sean Peisert, Anna Scaglione, Aram Shumavon, Nikhil Ravi, "Data Privacy for the Grid: Toward a Data Privacy Standard for Inverter-Based and Distributed Energy Resources", IEEE Power & Energy Magazine, October 1, 2023,

Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert, "Differential Privacy for Class-based Data: A Practical Gaussian Mechanism", June 23, 2023, doi: 10.1109/TIFS.2023.3289128

Conference Papers

Sachin Kadam, Anna Scaglione, Nikhil Ravi, Sean Peisert, Brent Lunghino, Aram Shumavon, "Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets", Proceedings of the 2023 IEEE International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkey, July 25, 2023,

Reports

Nikhil Ravi, Anna Scaglione, Julieta Giraldez, Parth Pradhan, Chuck Moran, Sean Peisert, "Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication", arXiv preprint arXiv:2304.03749, April 7, 2023, doi: 10.48550/arXiv.2304.03749

Others

Sachin Kadam, Anna Scaglione, Nikhil Ravi, Sean Peisert, Brent Lunghino, Aram Shumavon, Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets, arXiv preprint arXiv:2111.11661, November 23, 2021,

Nikhil Ravi, Anna Scaglione, Sachin Kadam, Reinhard Gentz, Sean Peisert, Brent Lunghino, Emmanuel Levijarvi, Aram Shumavon, Differentially Private K-means Clustering Applied to Meter Data Analysis and Synthesis, arXiv preprint arXiv:2112.03801, November 23, 2021,

Nikhil Ravi, Anna Scaglione, Sean Peisert, Colored Noise Mechanism for Differentially Private Clustering, arXiv preprint arXiv:2111.07850, November 15, 2021,