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20152022
most citedFairness Testing: Testing Software for Discrimination

410 citations · 439 across the 10 of their papers we have counts for

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Showing cs.DBShow all

12 papers · 1 filter

cs.DB2021

DataExposer: Exposing Disconnect between Data and Systems

Sainyam Galhotra, Anna Fariha, Raoni Lourenço +3

As data is a central component of many modern systems, the cause of a system malfunction may reside in the data, and, specifically, particular properties of the data. For example,…

cs.DB20216 cited

Stochastic Package Queries in Probabilistic Databases

Matteo Brucato, Nishant Yadav, Azza Abouzied +2

We provide methods for in-database support of decision making under uncertainty. Many important decision problems correspond to selecting a package (bag of tuples in a relational d…

cs.DB202018 cited

Causality-Guided Adaptive Interventional Debugging

Anna Fariha, Suman Nath, Alexandra Meliou

Runtime nondeterminism is a fact of life in modern database applications. Previous research has shown that nondeterminism can cause applications to intermittently crash, become unr…

cs.DB2020

Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems

Anna Fariha, Ashish Tiwari, Arjun Radhakrishna +2

The reliability and proper function of data-driven applications hinge on the data's continued conformance to the applications' initial design. When data deviates from this initial…

cs.DB2019

New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins

Cibele Freire, Wolfgang Gatterbauer, Neil Immerman +1

The resilience of a Boolean query is the minimum number of tuples that need to be deleted from the input tables in order to make the query false. A solution to this problem immedia…

cs.DB20191 cited

Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity

Anna Fariha, Alexandra Meliou

Traditional relational data interfaces require precise structured queries over potentially complex schemas. These rigid data retrieval mechanisms pose hurdles for non-expert users,…