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Provenance for Data-Intensive Systems

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Author(s): Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Published in: Proceedings of the 2020 SIGMOD Conference, 2020
Publisher: SIGMOD Conference 2020,

Computing the Shapley Value of Facts in Query Answering

Author(s): Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
Published in: CoRR abs, 2021
Publisher: CoRR abs

ExplainED: Explanations for EDA Notebooks (opens in new window)

Author(s): Deutch, Daniel ; Gilad, Amir ; Milo, Tova ; Somech, Amit
Published in: Proceedings of the VLDB Endowment, 2020
Publisher: Proceedings of the VLDB Endowment
DOI: 10.14778/3415478.3415508

Optimizing Counterfactual-based Analysis of Machine Learning ModelsThrough Databases

Author(s): Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas
Published in: Proceedings of the International Conference on Extending Database Technologies, 2024
Publisher: OpenProceedings.org

PITA: Privacy Through Provenance Abstraction (opens in new window)

Author(s): Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
Published in: 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
Publisher: IEEE
DOI: 10.1109/icde51399.2021.00311

Just in Time: Personal Temporal Insights for Altering Model Decisions (opens in new window)

Author(s): Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Published in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 1988-1991, ISBN 978-1-5386-7474-1
Publisher: IEEE
DOI: 10.1109/icde.2019.00221

Explaining Missing Query Results in Natural Language

Author(s): Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
Published in: 2020
Publisher: OpenProceedings.org

Reverse-Engineering Conjunctive Queries from Provenance Examples

Author(s): Daniel Deutch, Amir Gilad
Published in: 2019
Publisher: openproceedings.org

On Multiple Semantics for Declarative Database Repairs (opens in new window)

Author(s): Amir Gilad, Daniel Deutch, Sudeepa Roy
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 817-831, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3389721

T-REx: Table Repair Explanations (opens in new window)

Author(s): Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 2765-2768, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3384700

Hypothetical Reasoning via Provenance Abstraction (opens in new window)

Author(s): Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Published in: Proceedings of the 2019 International Conference on Management of Data - SIGMOD '19, 2019, Page(s) 537-554, ISBN 9781-450356435
Publisher: ACM Press
DOI: 10.1145/3299869.3300084

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning (opens in new window)

Author(s): Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Published in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 2016-2019, ISBN 978-1-5386-7474-1
Publisher: IEEE
DOI: 10.1109/icde.2019.00228

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries (opens in new window)

Author(s): Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
Published in: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, Page(s) 415-429, ISBN 9781-450367356
Publisher: ACM
DOI: 10.1145/3318464.3380578

CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers (opens in new window)

Author(s): Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif
Published in: 2024 IEEE Symposium on Security and Privacy (SP), 2024, Page(s) 1345-1364
Publisher: IEEE
DOI: 10.1109/sp54263.2024.00218

Predicting Fact Contributions from Query Logs with Machine Learning

Author(s): Dana Arad, Daniel Deutch, Nave Frost
Published in: Proceedings of the International Conference on Extending Database Technologies, 2024
Publisher: OpenProceedings.org

MuSe: Multiple Deletion Semantics for Data Repair (opens in new window)

Author(s): Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
Published in: Proceedings of the VLDB Endowment, 2020
Publisher: ASSOC COMPUTING MACHINERY
DOI: 10.14778/3415478.3415509

Explanations for Data Repair through Shapley Values (opens in new window)

Author(s): Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
Published in: International Conference on Information and Knowledge Management, Proceedings, 2021
Publisher: International Conference on Information and Knowledge Management, Proceedings
DOI: 10.1145/3459637.3482341

Banzhaf Values for Facts in Query Answering (opens in new window)

Author(s): Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
Published in: Proceedings of the ACM on Management of Data, Issue 2, 2024, Page(s) 1-26, ISSN 2836-6573
Publisher: ACM
DOI: 10.1145/3654926

Explaining Natural Language query results (opens in new window)

Author(s): Daniel Deutch, Nave Frost, Amir Gilad
Published in: The VLDB Journal, Issue 29/1, 2020, Page(s) 485-508, ISSN 1066-8888
Publisher: Springer Verlag
DOI: 10.1007/s00778-019-00584-7

Personal insights for altering decisions of tree-based ensembles over time (opens in new window)

Author(s): Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
Published in: Proceedings of the VLDB Endowment, Issue 13/6, 2020, Page(s) 798-811, ISSN 2150-8097
Publisher: PVLDB
DOI: 10.14778/3380750.3380752

Datalignment: Ontology Schema Alignment Through Datalog Containment

Author(s): Daniel Deutch, Evgeny Marants, Yuval Moskovitch
Published in: Proceedings of the VLDB Endowment, 2019, Page(s) 1870-1873, ISSN 2150-8097
Publisher: PVLDB

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