Sina Shaham

According to our database, Sina Shaham authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Supporting secure dynamic alert zones using searchable encryption and graph embedding.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

VLDB J., January, 2024

Fair Spatial Indexing: A paradigm for Group Spatial Fairness.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

HTF: Homogeneous Tree Framework for Differentially Private Release of Large Geospatial Datasets with Self-tuning Structure Height.

Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi

ACM Trans. Spatial Algorithms Syst., December, 2023

ILB: Graph Neural Network Enabled Emergency Demand Response Program For Electricity.

Sina Shaham, Bhaskar Krishnamachari, Matthew Kahn

CoRR, 2023

Holistic Survey of Privacy and Fairness in Machine Learning.

Sina Shaham, Arash Hajisafi, Minh K. Quan, Dinh C. Nguyen, Bhaskar Krishnamachari, Charith Peris, Gabriel Ghinita, Cyrus Shahabi, Pubudu N. Pathirana

CoRR, 2023

Generating Realistic and Representative Trajectories with Mobility Behavior Clustering.

Haowen Lin, Sina Shaham, Yao-Yi Chiang, Cyrus Shahabi

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting.

Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Enabling Cooperative Relay Selection by Transfer Learning for the Industrial Internet of Things.

Sina Shaham, Shuping Dang, Miaowen Wen, Shahid Mumtaz, Varun G. Menon, Chengzhong Li

IEEE Trans. Cogn. Commun. Netw., 2022

Models and Mechanisms for Spatial Data Fairness.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Proc. VLDB Endow., 2022

When Machine Learning Meets Privacy: A Survey and Outlook.

Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin

ACM Comput. Surv., 2022

Models and Mechanisms for Fairness in Location Data Processing.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

CoRR, 2022

Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021

Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model.

Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li

IEEE Trans. Mob. Comput., 2021

Privacy Preserving Location Data Publishing: A Machine Learning Approach.

Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li

IEEE Trans. Knowl. Data Eng., 2021

HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data.

Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Extended Kalman Filter Beam Tracking for Millimeter Wave Vehicular Communications.

Sina Shaham, Matthew Kokshoorn, Ming Ding, Zihuai Lin, Mahyar Shirvanimoghaddam

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Enhancing the Performance of Spatial Queries on Encrypted Data Through Graph Embedding.

Sina Shaham, Gabriel Ghinita, Cyrus Shahabi

Proceedings of the Data and Applications Security and Privacy XXXIV, 2020

2019

On the Importance of Location Privacy for Users of Location Based Applications.

Sina Shaham, Saba Rafieian, Ming Ding, Mahyar Shirvanimoghaddam, Zihuai Lin

CoRR, 2019

Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets.

Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li

CoRR, 2019

Basic Research Methodology in Wireless Communications: The First Course for Research-Based Graduate Students.

Zhongli Wang, Shuping Dang, Sina Shaham, Zhenrong Zhang, Zhihan Lv

IEEE Access, 2019

Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications.

Sina Shaham, Ming Ding, Matthew Kokshoorn, Zihuai Lin, Shuping Dang, Rana Abbas

IEEE Access, 2019

2018

Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model.

Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li

CoRR, 2018

RAF: Robust Adaptive Multi-Feedback Channel Estimation for Millimeter Wave MIMO Systems.

Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding

CoRR, 2018

RAF: Robust adaptive multi-feedback channel estimation for millimeter wave MIMO systems.

Sina Shaham, Matthew Kokshoorn, Zihuai Lin, Ming Ding, Yi Wu

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018