| 2026 | EDBT | CoDeC: Constraints-Guided Diverse Counterfactuals. | Avia Asael, Nave Frost, Amir Gilad, Daniel Deutch |
| 2026 | EDBT | Automating Efficient Data Collection through the Synergy of Agentic AI and Active Learning. | Yael Einy, Guy Dar, Slava Novgorodov, Tova Milo, Nave Frost |
| 2024 | ALT | Partially Interpretable Models with Guarantees on Coverage and Accuracy. | Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz |
| 2024 | EDBT | Predicting Fact Contributions from Query Logs with Machine Learning. | Dana Arad, Daniel Deutch, Nave Frost |
| 2024 | EDBT | Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases. | Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas |
| 2024 | SP | CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. | Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif |
| 2022 | CIKM | LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. | Dana Arad, Daniel Deutch, Nave Frost |
| 2022 | ICML | Framework for Evaluating Faithfulness of Local Explanations. | Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz |
| 2022 | SIGMOD | ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values. | Susan B. Davidson, Daniel Deutch, Nave Frost, Benny Kimelfeld, Omer Koren, Mikal Monet |
| 2022 | SIGMOD | Computing the Shapley Value of Facts in Query Answering. | Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikal Monet |
| 2021 | CIKM | Explanations for Data Repair Through Shapley Values. | Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer |
| 2020 | EDBT | Explaining Missing Query Results in Natural Language. | Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich |
| 2020 | ICML | Explainable k-Means and k-Medians Clustering. | Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost |
| 2020 | SIGMOD | T-REx: Table Repair Explanations. | Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer |
| 2019 | ICDE | Just in Time: Personal Temporal Insights for Altering Model Decisions. | Naama Boer, Daniel Deutch, Nave Frost, Tova Milo |
| 2019 | ICDE | Constraints-Based Explanations of Classifications. | Daniel Deutch, Nave Frost |
| 2019 | ICDE | Explaining Results of Data-Driven Applications. | Nave Frost |
| 2018 | CIKM | CEC: Constraints based Explanation for Classifications. | Daniel Deutch, Nave Frost |