| 2026 | EDBT | Combining Supervised and Unsupervised Learning for Efficient, Explainable, and Interoperable Anomaly Detection. | Grisha Weintraub, Leonid Rise, Doron Hillman, Paula Ta-Shma |
| 2025 | ICDE | Optimizing Cloud Data Lake Queries by Minimizing the Query Coverage Set. | Grisha Weintraub, Ehud Gudes, Shlomi Dolev |
| 2025 | SYSTOR | From Alert Fatigue to Trusted Insights: A Simple Non-ML Anomaly Detection Experience. | Avi Illouz, Leonid Rise, Michal Lazarovitz, Eli Shemesh, Grisha Weintraub |
| 2024 | SYSTOR | Coverage-Based Caching in Cloud Data Lakes. | Grisha Weintraub, Ehud Gudes, Shlomi Dolev |
| 2024 | SYSTOR | Integrity Verification in Cloud Data Lakes. | Grisha Weintraub, Leonid Rise, Eli Shemesh, Avraham Illouz |
| 2023 | VLDB | Optimizing Cloud Data Lakes Queries. | Grisha Weintraub |
| 2023 | SYSTOR | Analyzing large-scale genomic data with cloud data lakes. | Grisha Weintraub, Noam Hadar, Ehud Gudes, Shlomi Dolev, Ohad S. Birk |
| 2022 | SYSTOR | Integrity verification in cloud key-value stores. | Grisha Weintraub, Leonid Rise, Alon Kadosh |
| 2021 | EDBT | Needle in a haystack queries in cloud data lakes. | Grisha Weintraub, Ehud Gudes, Shlomi Dolev |
| 2021 | SYSTOR | Indexing cloud data lakes within the lakes. | Grisha Weintraub, Ehud Gudes, Shlomi Dolev |
| 2018 | DBSEC | Data Integrity Verification in Column-Oriented NoSQL Databases. | Grisha Weintraub, Ehud Gudes |
| 2017 | CCGRID | Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud. | Grisha Weintraub, Ehud Gudes |