Sepanta Zeighami

Liu, R. ., Zeighami, S. ., Lin, H. ., Shahabi, C. ., Cao, Y. ., Takagi, S. ., … Xiong, L. . (2023). Supporting Pandemic Preparedness with Privacy Enhancing Technology. In (p. 10). IEEE. http://doi.org/10.1109/TPS-ISA58951.2023.00014

Zeighami, S. ., Shahabi, C. ., & Sharan, V. . (2023). NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks. Proceedings of the ACM on Management of Data, 1(1), 26. http://doi.org/10.1145/3588954

Ahuja, R. ., Zeighami, S. ., Ghinita, G. ., & Shahabi, C. . (2023). A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. Proceedings of the ACM on Management of Data, 1(1), 25. http://doi.org/10.1145/3588701

Rambhatla, S. ., Zeighami, S. ., Shahabi, K. ., Shahabi, C. ., & Liu, Y. . (2022). Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Transactions on Spatial Algorithms and Systems, 8(2), 30. http://doi.org/10.1145/3481044

Zeighami, S. ., Ahuja, R. ., Ghinita, G. ., & Shahabi, C. . (2022). A neural database for differentially private spatial range queries. Proceedings of the VLDB Endowment, 15(5), 13. http://doi.org/10.14778/3510397.3510404

Zeighami, S. ., Shahabi, C. ., & Krumm, J. . (2021). Estimating spread of contact-based contagions in a population through sub-sampling. Proceedings of the VLDB Endowment, 14(9), 13. http://doi.org/10.14778/3461535.3461544