25 citations · 45 across the 23 of their papers we have counts for
7 papers · 1 filter
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
Ammar Haydari, Chen-Nee Chuah, Michael Zhang +2
Location data is collected from users continuously to understand their mobility patterns. Releasing the user trajectories may compromise user privacy. Therefore, the general practi…
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…
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation
Yize Chen, Yuanyuan Shi, Daniel Arnold +1
Fast and safe voltage regulation algorithms can serve as fundamental schemes for achieving a high level of renewable penetration in the modern distribution power grids. Faced with…
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
Colored Noise Mechanism for Differentially Private Clustering
Nikhil Ravi, Anna Scaglione, Sean Peisert
The goal of this paper is to propose and analyze a differentially private randomized mechanism for the -means query. The goal is to ensure that the information received about th…
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…
Understanding the Safety Requirements for Learning-based Power Systems Operations
Yize Chen, Daniel Arnold, Yuanyuan Shi +1
Recent advancements in machine learning and reinforcement learning have brought increased attention to their applicability in a range of decision-making tasks in the operations of…