activity
20192023
most citedDifferentially Private -means Clustering Applied to Meter Data Analysis and Synthesis

25 citations · 26 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SP2023★ 1 cited

Differential Privacy for Class-based Data: A Practical Gaussian Mechanism

Raksha Ramakrishna, Anna Scaglione, Tong Wu +2

In this paper, we present a notion of differential privacy (DP) for data that comes from different classes. Here, the class-membership is private information that needs to be prote…

eess.SY2023

Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication

Nikhil Ravi, Anna Scaglione, Julieta Giraldez +3

Stakeholders in electricity delivery infrastructure are amassing data about their system demand, use, and operations. Still, they are reluctant to share them, as even sharing aggre…

cs.CV2022

Omnivore: A Single Model for Many Visual Modalities

Rohit Girdhar, Mannat Singh, Nikhila Ravi +3

Prior work has studied different visual modalities in isolation and developed separate architectures for recognition of images, videos, and 3D data. Instead, in this paper, we prop…

eess.SP2021★ 25 cited

Differentially Private -means Clustering Applied to Meter Data Analysis and Synthesis

Nikhil Ravi, Anna Scaglione, Sachin Kadam +5

The proliferation of smart meters has resulted in a large amount of data being generated. It is increasingly apparent that methods are required for allowing a variety of stakeholde…

cs.CR2021

Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets

Sachin Kadam, Anna Scaglione, Nikhil Ravi +3

The Differential Privacy (DP) literature often centers on meeting privacy constraints by introducing noise to the query, typically using a pre-specified parametric distribution mod…

eess.SY2020

A Secure Distributed Ledger for Transactive Energy: The Electron Volt Exchange (EVE) Blockchain

Shammya Saha, Nikhil Ravi, Kari Hreinsson +3

The adoption of blockchain for Transactive Energy has gained significant momentum as it allows mutually non-trusting agents to trade energy services in a trustless energy market. R…

cs.CV2020

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Sachit Menon, Alexandru Damian, Shijia Hu +2

The primary aim of single-image super-resolution is to construct high-resolution (HR) images from corresponding low-resolution (LR) inputs. In previous approaches, which have gener…

eess.SY2019

Detection and Isolation of Adversaries in Decentralized Optimization for Non-Strongly Convex Objectives

Nikhil Ravi, Anna Scaglione

Decentralized optimization has found a significant utility in recent years, as a promising technique to overcome the curse of dimensionality when dealing with large-scale inference…

eess.SP2019

Keeping Them Honest: a Trustless Multi-Agent Algorithm to Validate Transactions Cleared on Blockchain using Physical Sensors

Nikhil Ravi, Shammya Saha, Anna Scaglione +1

In recent years, many Blockchain based frameworks for transacting commodities on a congestible network have been proposed. In particular, as the number of controllable grid connect…