78 citations · 147 across the 5 of their papers we have counts for
6 papers
Point2Acoustic: Efficient Room Acoustic Parameter Estimation from 3D Geometry and Material Properties
Xun Gao, Raksha Ramakrishna, Tommy Falk +1
Scene-adaptive immersive audio rendering requires rapid estimation of acoustic parameters that reflect the surrounding environment. For repeated runtime scene updates, performing a…
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…
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna, György Dán
Property inference attacks against machine learning (ML) models aim to infer properties of the training data that are unrelated to the primary task of the model, and have so far be…
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid
Raksha Ramakrishna, Anna Scaglione
The underlying theme of this paper is to explore the various facets of power systems data through the lens of graph signal processing (GSP), laying down the foundations of the Grid…
A User Guide to Low-Pass Graph Signal Processing and its Applications
Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione
The notion of graph filters can be used to define generative models for graph data. In fact, the data obtained from many examples of network dynamics may be viewed as the output of…
A Stochastic Model for Short-Term Probabilistic Forecast of Solar Photo-Voltaic Power
Raksha Ramakrishna, Anna Scaglione, Vijay Vittal
In this paper, a stochastic model with regime switching is developed for solar photo-voltaic (PV) power in order to provide short-term probabilistic forecasts. The proposed model f…