activity
20232026
most citedDuckDB-SGX2: The Good, The Bad and The Ugly within Confidential Analytical Query Processing

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

SIMD-PAC-DB: Pretty Performant PAC Privacy

Ilaria Battiston, Dandan Yuan, Xiaochen Zhu +1

This work presents a highly optimized implementation of PAC-DB, a recent and promising database privacy model. We prove that our SIMD-PAC-DB can compute the same privatized answer…

cs.DB2025★ 1 cited

Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables

Daniel Sotolongo, Daniel Mills, Tyler Akidau +24

Streaming data pipelines remain challenging and expensive to build and maintain, despite significant advancements in stronger consistency, event time semantics, and SQL support ove…

cs.DB2024★ 6 cited

DuckDB-SGX2: The Good, The Bad and The Ugly within Confidential Analytical Query Processing

Ilaria Battiston, Lotte Felius, Sam Ansmink +2

We provide an evaluation of an analytical workload in a confidential computing environment, combining DuckDB with two technologies: modular columnar encryption in Parquet files (da…

cs.DB2024★ 1 cited

OpenIVM: a SQL-to-SQL Compiler for Incremental Computations

Ilaria Battiston, Kriti Kathuria, Peter Boncz

This demonstration presents a new Open Source SQL-to-SQL compiler for Incremental View Maintenance (IVM). While previous systems, such as DBToaster, implemented computational funct…

cs.DB2023

Improving Data Minimization through Decentralized Data Architectures

Ilaria Battiston, Peter Boncz

In this research project, we investigate an alternative to the standard cloud-centralized data architecture. Specifically, we aim to leave part of the application data under the co…