activity
20122025
most citedLocal Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025★ 1 cited

Evaluating LLMs and Prompting Strategies for Automated Hardware Diagnosis from Textual User-Reports

Carlos Caminha, Maria de Lourdes M. Silva, Iago C. Chaves +3

Computer manufacturers offer platforms for users to describe device faults using textual reports such as "My screen is flickering". Identifying the faulty component from the report…

cs.LG2025

Differentially Private Selection using Smooth Sensitivity

Iago Chaves, Victor Farias, Amanda Perez +2

Differentially private selection mechanisms offer strong privacy guarantees for queries aiming to identify the top-scoring element r from a finite set R, based on a dataset-depende…

cs.CL2025

Classification of User Reports for Detection of Faulty Computer Components using NLP Models: A Case Study

Maria de Lourdes M. Silva, André L. C. Mendonça, Eduardo R. D. Neto +4

Computer manufacturers typically offer platforms for users to report faults. However, there remains a significant gap in these platforms' ability to effectively utilize textual rep…

cs.CR2020★ 6 cited

Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity

Victor A. E. Farias, Felipe T. Brito, Cheryl Flynn +3

Differential privacy is the state-of-the-art formal definition for data release under strong privacy guarantees. A variety of mechanisms have been proposed in the literature for re…

math.CO2012

b-coloring graphs with large girth

Victor Campos, Victor Farias, Ana Silva

A b-coloring of a graph is a coloring of its vertices such that every color class contains a vertex that has a neighbor in all other classes. The b-chromatic number of a graph is t…