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Rafael Dowsley
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Publications
- 2023
- [c40]Steven Golob, Sikha Pentyala, Rafael Dowsley, Bernardo David, Mario Larangeira, Martine De Cock, Anderson C. A. Nascimento:
A Decentralized Information Marketplace Preserving Input and Output Privacy. DEC@SIGMOD 2023: 1-6 - [i55]Ricardo J. M. Maia, Dustin Ray, Sikha Pentyala, Rafael Dowsley, Martine De Cock, Anderson C. A. Nascimento, Ricardo Jacobi:
An End-to-End Framework for Private DGA Detection as a Service. IACR Cryptol. ePrint Arch. 2023: 1644 (2023) - 2022
- [j17]Samuel Adams, Chaitali Choudhary, Martine De Cock, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen:
Privacy-preserving training of tree ensembles over continuous data. Proc. Priv. Enhancing Technol. 2022(2): 205-226 (2022) - [i54]Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock:
Training Differentially Private Models with Secure Multiparty Computation. CoRR abs/2202.02625 (2022) - [i53]Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock:
Training Differentially Private Models with Secure Multiparty Computation. IACR Cryptol. ePrint Arch. 2022: 146 (2022) - 2021
- [c31]Xiling Li, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Feature Selection with Secure Multiparty Computation. ICML 2021: 6326-6336 - [c30]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. ICML 2021: 8487-8499 - [i50]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. CoRR abs/2102.03513 (2021) - [i49]Xiling Li, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Feature Selection with Secure Multiparty Computation. CoRR abs/2102.03517 (2021) - [i47]Samuel Adams, Chaitali Choudhary, Martine De Cock, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen:
Privacy-Preserving Training of Tree Ensembles over Continuous Data. CoRR abs/2106.02769 (2021) - [i45]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. IACR Cryptol. ePrint Arch. 2021: 131 (2021) - [i44]Xiling Li, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Feature Selection with Secure Multiparty Computation. IACR Cryptol. ePrint Arch. 2021: 132 (2021) - [i41]Samuel Adams, Chaitali Choudhary, Martine De Cock, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen:
Privacy-Preserving Training of Tree Ensembles over Continuous Data. IACR Cryptol. ePrint Arch. 2021: 754 (2021) - 2020
- [i40]Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki:
High Performance Logistic Regression for Privacy-Preserving Genome Analysis. CoRR abs/2002.05377 (2020) - [i39]Kyle Bittner, Martine De Cock, Rafael Dowsley:
Private Speech Characterization with Secure Multiparty Computation. CoRR abs/2007.00253 (2020) - [i38]Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki:
High Performance Logistic Regression for Privacy-Preserving Genome Analysis. IACR Cryptol. ePrint Arch. 2020: 171 (2020) - 2019
- [j11]Martine De Cock, Rafael Dowsley, Caleb Horst, Raj S. Katti, Anderson C. A. Nascimento, Wing-Sea Poon, Stacey Truex:
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models Based on Pre-Computation. IEEE Trans. Dependable Secur. Comput. 16(2): 217-230 (2019) - [c25]Devin Reich, Ariel Todoki, Rafael Dowsley, Martine De Cock, Anderson C. A. Nascimento:
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation. NeurIPS 2019: 3752-3764 - [i31]Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Devin Reich, Ariel Todoki:
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection. CoRR abs/1906.02325 (2019) - [i30]Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Protecting Privacy of Users in Brain-Computer Interface Applications. CoRR abs/1907.01586 (2019) - [i28]Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Devin Reich, Ariel Todoki:
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection. IACR Cryptol. ePrint Arch. 2019: 744 (2019) - 2018
- [c23]Kyle Fritchman, Keerthanaa Saminathan, Rafael Dowsley, Tyler Hughes, Martine De Cock, Anderson C. A. Nascimento, Ankur Teredesai:
Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare. IEEE BigData 2018: 2413-2422 - [c22]Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Privacy-Preserving Linear Regression for Brain-Computer Interface Applications. IEEE BigData 2018: 5277-5278 - [c21]Sanchya Bhagat, Keerthanaa Saminathan, Anisha Agarwal, Rafael Dowsley, Martine De Cock, Anderson C. A. Nascimento:
Privacy-Preserving User Profiling with Facebook Likes. IEEE BigData 2018: 5298-5299 - [i26]Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock:
VirtualIdentity: Privacy-Preserving User Profiling. CoRR abs/1808.10151 (2018) - 2016
- [i18]Martine De Cock, Rafael Dowsley, Caleb Horst, Raj S. Katti, Anderson C. A. Nascimento, Stacey C. Newman, Wing-Sea Poon:
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation. IACR Cryptol. ePrint Arch. 2016: 736 (2016) - 2015
- [c16]Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Stacey C. Newman:
Fast, Privacy Preserving Linear Regression over Distributed Datasets based on Pre-Distributed Data. AISec@CCS 2015: 3-14
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