Publications

Peer Reviewed Papers

• Bonomi, L., Lionts, M. and Fan, L., 2023, December. Private Continuous Survival Analysis with Distributed Multi-Site Data. In 2023 IEEE International Conference on Big Data (BigData) (pp. 5444-5453). IEEE. https://doi.org/10.1109/BigData59044.2023.10386571

• Fan, L. and Bonomi, L., 2023, November. Hide Your Distance: Privacy Risks and Protection in Spatial Accessibility Analysis. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems (pp. 1-11). https://doi.org/10.1145/3589132.3625656

• Bonomi, L., Gousheh, S. and Fan, L., 2023, October. Enabling Health Data Sharing with Fine-Grained Privacy. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 131-141). https://doi.org/10.1145/3583780.3614864

• Fan, L. and Bonomi, L., 2023, June. Mitigating membership inference in deep survival analyses with differential privacy. In 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) (pp. 81-90). IEEE. https://doi.org/10.1109/ICHI57859.2023.00022

• Bonomi, L. and Fan, L., 2022, June. Sharing Time-to-Event Data with Privacy Protection. In 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (pp. 11-20). IEEE. https://doi.org/10.1109/ichi54592.2022.00014

• Zhang, C. and Bonomi, L., 2022, June. Mitigating Membership Inference in Deep Learning Applications with High Dimensional Genomic Data. In 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (pp. 01-03). IEEE. https://doi.org/10.1109/ICHI54592.2022.00101

• Bonomi, L., Wu, Z. and Fan, L., 2022. Sharing personal ECG time-series data privately. Journal of the American Medical Informatics Association, 29(7), pp.1152-1160. https://doi.org/10.1093/jamia/ocac047

• Baxter, S.L., Saseendrakumar, B.R., Paul, P., Kim, J., Bonomi, L., Kuo, T.T., Loperena, R., Ratsimbazafy, F., Boerwinkle, E., Cicek, M. and Clark, C.R., 2021. Predictive analytics for glaucoma using data from the all of us research program. American journal of ophthalmology, 227, pp.74-86. https://doi.org/10.1016/j.ajo.2021.01.008

• Bonomi, L., Fan, L. and Jiang, X., 2021. Noise-tolerant similarity search in temporal medical data. Journal of Biomedical Informatics, 113, p.103667. https://doi.org/10.1016/j.jbi.2020.103667

• Bonomi, L., Huang, Y. and Ohno-Machado, L., 2020. Privacy challenges and research opportunities for genomic data sharing. Nature genetics, 52(7), pp.646-654. https://doi.org/10.1038/s41588-020-0651-0

• Dai, W., Jiang, X., Bonomi, L., Li, Y., Xiong, H. and Ohno-Machado, L., 2020. VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. IEEE Transactions on Knowledge and Data Engineering.

• Bonomi, L., Jiang, X. and Ohno-Machado, L., 2020. Protecting patient privacy in survival analyses. Journal of the American Medical Informatics Association, 27(3), pp.366-375.

• Bonomi, L. and Jiang, X., 2018. Patient ranking with temporally annotated data. Journal of biomedical informatics, 78, pp.43-53.

• Fan, L., Bonomi, L., Shahabi, C. and Xiong, L., 2018. Optimal group route query: Finding itinerary for group of users in spatial databases. GeoInformatica, 22(4), pp.845-867.

• Bonomi, L. and Jiang, X., 2018. Linking temporal medical records using non-protected health information data. Statistical methods in medical research, 27(11), pp.3304-3324.

• Fan, L. and Bonomi, L., 2018, July. Time series sanitization with metric-based privacy. In 2018 IEEE International Congress on Big Data (BigData Congress) (pp. 264-267). IEEE.

• Bonomi, L. and Jiang, X., 2018, June. Pattern Similarity in Time Interval Sequences. In 2018 IEEE International Conference on Healthcare Informatics (ICHI) (pp. 434-435). IEEE.

• Fan, L., Bonomi, L., Shahabi, C. and Xiong, L., 2017, August. Multi-user itinerary planning for optimal group preference. In International Symposium on Spatial and Temporal Databases (pp. 3-23). Springer, Cham.

• Bonomi, L. and Jiang, X., 2017, April. A mortality study for ICU patients using bursty medical events. In 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 1533-1540). IEEE.

• Wang, S., Jiang, X., Singh, S., Marmor, R., Bonomi, L., Fox, D., Dow, M. and Ohno-Machado, L., 2017. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals of the New York Academy of Sciences, 1387(1), p.73.

• Wang, S., Bonomi, L., Dai, W., Chen, F., Cheung, C., Bloss, C.S., Cheng, S. and Jiang, X., 2016. Big data privacy in biomedical research. IEEE Transactions on Big Data, 6(2), pp.296-308.

• Bonomi, L. and Xiong, L., 2016. On Differentially Private Longest Increasing Subsequence Computation in Data Stream. Trans. Data Priv., 9(1), pp.73-100.

• Bonomi, L., Fan, L. and Jin, H., 2016, February. An information-theoretic approach to individual sequential data sanitization. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (pp. 337-346).

• Bonomi, L. and Xiong, L., 2015, March. Private Computation of the Longest Increasing Subsequence in Data Streams. In EDBT/ICDT Workshops (pp. 270-277).

• Fan, L., Bonomi, L., Xiong, L. and Sunderam, V., 2014, April. Monitoring web browsing behavior with differential privacy. In Proceedings of the 23rd international conference on World wide web (pp. 177-188).

• Bonomi, L. and Xiong, L., 2013, October. A two-phase algorithm for mining sequential patterns with differential privacy. In Proceedings of the 22nd ACM international conference on Information & Knowledge Management (pp. 269-278).

• Bonomi, L. and Xiong, L., 2013. Mining frequent patterns with differential privacy. Proceedings of the VLDB Endowment, 6(12), pp.1422-1427.

• Bonomi, L., Xiong, L. and Lu, J.J., 2013, June. LinkIT: privacy preserving record linkage and integration via transformations. In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (pp. 1029-1032).

• Bonomi, L., Xiong, L., Chen, R. and Fung, B.C., 2012, October. Frequent grams based embedding for privacy preserving record linkage. In Proceedings of the 21st acm international conference on information and knowledge management (pp. 1597-1601).

Book Chapters

• Bonomi, L., Fan, L. and Xiong, L., 2015. A review of privacy preserving mechanisms for record linkage. Medical data privacy handbook, pp.233-265.