I am a Computer Science PhD student at
Simon Fraser University (SFU)
advised by Ke Wang.
The focus of my current research is on
Natural Language Processing (NLP) and
Differential Privacy (DP).
During the Summer of 2020, I completed an internship on Amazon Web Services as Applied Scientist Intern with the SageMaker Deep Learning Team in Vancouver, Canada, mentored by Theodore Vasiloudis.
From 2012 to 2018, I was a Senior Data Scientist for the Brazilian Government, where for almost a year I worked as Data Science Manager.
I have a M.Sc. in Computer Science from University of Brasilia (UnB), Brazil, where I was advised by Rommel Novaes Carvalho, and a B.Eng. in Computer Engineering from Instituto Tecnologico de Aeronautica (ITA), Brazil, advised by Clovis Torres Fernandes.
Please see complete list of publications here.
Incorporating Item Frequency for Differentially Private Set Union
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara
AAAI Conference on Artificial Intelligence (AAAI 2022)
Differentially Private Ensemble Classifiers for Data Streams
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
ACM International WSDM Conference (WSDM 2022)
BRR: Preserving Privacy of Text Data Efficiently on Device
Ricardo Silva Carvalho *, Theodore Vasiloudis, Oluwaseyi Feyisetan --- * Work done during an internship at Amazon
Workshop on Machine Learning for Data (ML4Data 2021) at ICML 2021
Workshop on Shareable NLP Technologies at Amazon's Machine Learning Conference (AMLC 2020) - best paper award
Paper
Amazon Science
TEM: High Utility Metric Differential Privacy on Text
Ricardo Silva Carvalho *, Theodore Vasiloudis, Oluwaseyi Feyisetan --- * Work done during an internship at Amazon
Workshop on Theory and Practice of Differential Privacy (TPDP 2021) at ICML 2021
Paper
Amazon Science
Differentially Private Top-k Selection via Stability on Unknown Domain
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
Conference on Uncertainty in Artificial Intelligence (UAI 2020)
Paper
Supplementary File
Video
Code
Training Differentially Private Neural Networks With Lottery Tickets
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
European Symposium on Research in Computer Security (ESORICS 2021)
Workshop on Machine Learning with Guarantees at NeurIPS 2019
Extended Abstract
Privacy-Preserving Publication of Sensitive Data using Differentially Private GANs
Ricardo Silva Carvalho
BC AI Student Showcase 2019
Poster
Report
Code
A Text Classification Model to Identify Performance Bonds Requirement in Public Bidding Notices.
Urias Cruz da Cunha, Ricardo Silva Carvalho, Alexandre Zaghetto
Future of Information and Communication Conference (FICC 2020)
Paper