510 citations · 775 across the 39 of their papers we have counts for
9 papers · 1 filter
Gaussian Process for Trajectories
Kien Nguyen, John Krumm, Cyrus Shahabi
The Gaussian process is a powerful and flexible technique for interpolating spatiotemporal data, especially with its ability to capture complex trends and uncertainty from the inpu…
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang, Zongyu Lin, Xiaochen Yang +3
The crime forecasting is an important problem as it greatly contributes to urban safety. Typically, the goal of the problem is to predict different types of crimes for each geograp…
Quantifying Intrinsic Value of Information of Trajectories
Kien Nguyen, John Krumm, Cyrus Shahabi
A trajectory, defined as a sequence of location measurements, contains valuable information about movements of an individual. Its value of information (VOI) may change depending on…
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks
Haowen Lin, Jian Lou, Li Xiong +1
Adversarial data examples have drawn significant attention from the machine learning and security communities. A line of work on tackling adversarial examples is certified robustne…
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin, Jian Lou, Li Xiong +1
Federated learning enables multiple clients, such as mobile phones and organizations, to collaboratively learn a shared model for prediction while protecting local data privacy. Ho…
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…
NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond
Sepanta Zeighami, Cyrus Shahabi
Range aggregate queries (RAQs) are an integral part of many real-world applications, where, often, fast and approximate answers for the queries are desired. Recent work has studied…
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…