97 citations · 102 across the 6 of their papers we have counts for
10 papers
Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Conventional origin-destination (OD) matrices record the count of trips between pairs of start and end locations, and have been extensively used in transportation, traffic planning…
HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data
Sina Shaham, Gabriel Ghinita, Ritesh Ahuja +2
Mobile apps that use location data are pervasive, spanning domains such as transportation, urban planning and healthcare. Important use cases for location data rely on statistical…
An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Location data are widely used in mobile apps, ranging from location-based recommendations, to social media and navigation. A specific type of interaction is that of location-based…
When Machine Learning Meets Privacy: A Survey and Outlook
Bo Liu, Ming Ding, Sina Shaham +3
The newly emerged machine learning (e.g. deep learning) methods have become a strong driving force to revolutionize a wide range of industries, such as smart healthcare, financial…
Extended Kalman Filter Beam Tracking for Millimeter Wave Vehicular Communications
Sina Shaham, Matthew Kokshoorn, Ming Ding +2
Millimeter-wave (mmWave) communication is a promising technology to meet the ever-growing data traffic of vehicular communications. Unfortunately, more frequent channel estimations…
On the Importance of Location Privacy for Users of Location Based Applications
Sina Shaham, Saba Rafieian, Ming Ding +2
Do people care about their location privacy while using location-based service apps? This paper aims to answer this question and several other hypotheses through a survey, and revi…