19 citations · 48 across the 14 of their papers we have counts for
14 papers
Differentially Private Publication of Electricity Time Series Data in Smart Grids
Sina Shaham, Gabriel Ghinita, Bhaskar Krishnamachari +1
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are ess…
Holistic Survey of Privacy and Fairness in Machine Learning
Sina Shaham, Arash Hajisafi, Minh K Quan +6
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and trustworthy Machine Learning (ML). Each objective has been independently studied in the…
Towards Mobility Data Science (Vision Paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Machine learning (ML) is playing an increasing role in decision-making tasks that directly affect individuals, e.g., loan approvals, or job applicant screening. Significant concern…
Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Location-based alerts have gained increasing popularity in recent years, whether in the context of healthcare (e.g., COVID-19 contact tracing), marketing (e.g., location-based adve…
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita +1
Several companies (e.g., Meta, Google) have initiated "data-for-good" projects where aggregate location data are first sanitized and released publicly, which is useful to many appl…
Models and Mechanisms for Spatial Data Fairness
Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
Fairness in data-driven decision-making studies scenarios where individuals from certain population segments may be unfairly treated when being considered for loan or job applicati…
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…
A Neural Database for Differentially Private Spatial Range Queries
Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita +1
Mobile apps and location-based services generate large amounts of location data that can benefit research on traffic optimization, context-aware notifications and public health (e.…
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…
A Secure Location-based Alert System with Tunable Privacy-Performance Trade-off
Gabriel Ghinita, Kien Nguyen, Mihai Maruseac +1
Monitoring location updates from mobile users has important applications in many areas, ranging from public safety and national security to social networks and advertising. However…
Dynamic Skyline Queries on Encrypted Data Using Result Materialization
Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi
Skyline computation is an increasingly popular query, with broad applicability in domains such as healthcare, travel and finance. Given the recent trend to outsource databases and…
A Privacy-Preserving, Accountable and Spam-Resilient Geo-Marketplace
Kien Nguyen, Gabriel Ghinita, Muhammad Naveed +1
Mobile devices with rich features can record videos, traffic parameters or air quality readings along user trajectories. Although such data may be valuable, users are seldom reward…