Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Ravi, Nikhil"'
In this paper, we present a framework based on differential privacy (DP) for querying electric power measurements to detect system anomalies or bad data. Our DP approach conceals consumption and system matrix data, while simultaneously enabling an un
Externí odkaz:
http://arxiv.org/abs/2403.02324
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 protected. The proposed method is an output perturbation mechanism that add
Externí odkaz:
http://arxiv.org/abs/2306.05578
Autor:
Ravi, Nikhil, Scaglione, Anna, Giraldez, Julieta, Pradhan, Parth, Moran, Chuck, Peisert, Sean
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 aggregated or anonymized electric grid data risks the disclosure of sensiti
Externí odkaz:
http://arxiv.org/abs/2304.03749
Autor:
Ravi, Nikhil, Scaglione, Anna, Kadam, Sachin, Gentz, Reinhard, Peisert, Sean, Lunghino, Brent, Levijarvi, Emmanuel, Shumavon, Aram
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 stakeholders to leverage the data in a manner that preserves the privacy of the
Externí odkaz:
http://arxiv.org/abs/2112.03801
The Differential Privacy (DP) literature often centers on meeting privacy constraints by introducing noise to the query, typically using a pre-specified parametric distribution model with one or two degrees of freedom. However, this emphasis tends to
Externí odkaz:
http://arxiv.org/abs/2111.11661
The goal of this paper is to propose and analyze a differentially private randomized mechanism for the $K$-means query. The goal is to ensure that the information received about the cluster-centroids is differentially private. The method consists in
Externí odkaz:
http://arxiv.org/abs/2111.07850
Autor:
Saha, Shammya, Ravi, Nikhil, Hreinsson, Kari, Baek, Jaejong, Scaglione, Anna, Johnson, Nathan G.
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. Research to date has assumed that the built-in Byzantine Fault Toleranc
Externí odkaz:
http://arxiv.org/abs/2011.06983
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 generally been supervised, the training objective typically measures a pixe
Externí odkaz:
http://arxiv.org/abs/2003.03808
Autor:
Ravi, Nikhil, Scaglione, Anna
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 and decision problems in big data. While these algorithms are resilie
Externí odkaz:
http://arxiv.org/abs/1910.13020
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 connected assets increases, there is a need for a decentralized, coupled econ
Externí odkaz:
http://arxiv.org/abs/1910.10870