Publications

Submitted
Brit Youngmann, Gilad, Amir , Roy, Sudeepa , and Cafarella, Michael . Submitted. “Summarized Causal Explanations For Aggregate Views”. In Sigmod '24: International Conference On Management Of Data (To Appear).
2023
Hanze Meng, Miao, Zhengjie , Gilad, Amir , Roy, Sudeepa , and Yang, Jun . 2023. “Characterizing And Verifying Queries Via Cinsgen”. In Sigmod, Pp. 143–146.
Amir Gilad, Imber, Aviram , and Kimelfeld, Benny . 2023. “The Consistency Of Probabilistic Databases With Independent Cells”. In 26Th International Conference On Database Theory, Icdt 2023, 255:Pp. 22:1–22:19.
Shweta Patwa, Sun, Danyu , Gilad, Amir , Machanavajjhala, Ashwin , and Roy, Sudeepa . 2023. “Dp-Pqd: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms”. Proc. Vldb Endow., 17, Pp. 65–78. . Publisher's Version
Tingyu Wang, Tao, Yuchao , Gilad, Amir , Machanavajjhala, Ashwin , and Roy, Sudeepa . 2023. “Explaining Differentially Private Query Results With Dpxplain”. Proc. Vldb Endow., 16, Pp. 3962–3965.
Daniel Deutch, Gilad, Amir , Milo, Tova , and Somech, Amit . 2023. “Fedex: An Explainability Framework For Data Exploration Steps”. Proc. Vldb Endow.
David Pujol, Gilad, Amir , and Machanavajjhala, Ashwin . 2023. “Prefair: Privately Generating Justifiably Fair Synthetic Data”. Proc. Vldb Endow., 16, Pp. 1573–1586.
2022
Yuchao Tao, Gilad, Amir , Machanavajjhala, Ashwin , and Roy, Sudeepa . 2022. “Dpxplain: Privately Explaining Aggregate Query Answers”. Proc. Vldb Endow., 16, Pp. 113–126.
Daniel Deutch, Gilad, Amir , Milo, Tova , Mualem, Amit , and Somech, Amit . 2022. “Fedex: An Explainability Framework For Data Exploration Steps”. Proc. Vldb Endow., 15, Pp. 3854–3868.
Sainyam Galhotra, Gilad, Amir , Roy, Sudeepa , and Salimi, Babak . 2022. “Hyper: Hypothetical Reasoning With What-If And How-To Queries Using A Probabilistic Causal Approach”. In Sigmod '22: International Conference On Management Of Data, Pp. 1598–1611.
Amir Gilad, Miao, Zhengjie , Roy, Sudeepa , and Yang, Jun . 2022. “Understanding Queries By Conditional Instances”. In Sigmod '22: International Conference On Management Of Data, Pp. 355–368.
2021
Daniel Deutch, Frost, Nave , Gilad, Amir , and Sheffer, Oren . 2021. “Explanations For Data Repair Through Shapley Values”. In Cikm '21: The 30Th Acm International Conference On Information And Knowledge Management, Pp. 362–371.
Daniel Deutch, Frankenthal, Ariel , Gilad, Amir , and Moskovitch, Yuval . 2021. “On Optimizing The Trade-Off Between Privacy And Utility In Data Provenance”. In Sigmod '21: International Conference On Management Of Data, Pp. 379–391.
Daniel Deutch, Frankenthal, Ariel , Gilad, Amir , and Moskovitch, Yuval . 2021. “Pita: Privacy Through Provenance Abstraction”. In Ieee International Conference On Data Engineering, Icde, Pp. 2713–2716.
Amir Gilad, Patwa, Shweta , and Machanavajjhala, Ashwin . 2021. “Synthesizing Linked Data Under Cardinality And Integrity Constraints”. In Sigmod '21: International Conference On Management Of Data, Pp. 619–631.
2020
Daniel Deutch, Gilad, Amir , Milo, Tova , and Somech, Amit . 2020. “Explained: Explanations For Eda Notebooks”. Proc. Vldb Endow., 13, Pp. 2917–2920.
Daniel Deutch, Frost, Nave , Gilad, Amir , and Haimovich, Tomer . 2020. “Explaining Missing Query Results In Natural Language”. In Proceedings Of The 23Rd International Conference On Extending Database Technology, Edbt, Pp. 427–430.
Daniel Deutch, Frost, Nave , and Gilad, Amir . 2020. “Explaining Natural Language Query Results”. Vldb J., 29, Pp. 485–508.
Amir Gilad, Deutch, Daniel , and Roy, Sudeepa . 2020. “On Multiple Semantics For Declarative Database Repairs”. In Sigmod '20: International Conference On Management Of Data, Pp. 817–831.
Amir Gilad, Hu, Yihao , Deutch, Daniel , and Roy, Sudeepa . 2020. “Muse: Multiple Deletion Semantics For Data Repair”. Proc. Vldb Endow., 13, Pp. 2921–2924.