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English Information

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Authors
# Name
1 Iago Chaves(iagocc@gmail.com)
2 Javam Machado(javam.machado@lsbd.ufc.br)

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Reference
# Reference
1 Danilo Alves, Victor A. E. de Farias, Iago C. Chaves, Richard Chao, João Paulo Ma- deiro, João Paulo Pordeus Gomes, and Javam C. Machado. Detecting customer in- duced damages in motherboards with deep neural networks. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022, pa- ges 1–8. IEEE, 2022. doi: 10.1109/IJCNN55064.2022.9892047. URL https: //doi.org/10.1109/IJCNN55064.2022.9892047.
2 L. Cabral, V. Farias, L. Sena, I. Chaves, J. P. Pordeus, J. P. Santiago, D. Sá, J. Machado, and J. P. Madeiro. An active learning approach for detecting customer induced damages in motherboards with deep neural networks. Learning & Nonlinear Models, 21(2):29– 42, 2023. doi: 10.21528/lnlm-vol21-no2-art3
3 Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, and Divesh Srivastava. Local dampening: differential pri- vacy for non-numeric queries via local sensitivity. VLDB J., 32(6):1191–1214, 2023. doi: 10.1007/S00778-022-00774-W. URL https://doi.org/10.1007/ s00778-022-00774-w.
4 Maria de Lourdes Maia Silva, Iago Castro Chaves, and Javam de Castro Machado. Aplicação de top-k reverso com privacidade sobre os dados públicos de COVID-19 no estado do ceará. In Proceedings of the 35th Brazilian Symposium on Databases, SBBD 2020, Online, September 28 - October 1, 2020, pages 193–198. SBC, 2020. doi: 10.5753/SBBD.2020.13640. URL https://doi.org/10.5753/sbbd.2020. 13640.
5 Sam Fletcher and Md Zahidul Islam. Differentially private random decision forests using smooth sensitivity. Expert Syst. Appl., 78:16–31, 2017. doi: 10.1016/J.ESWA.2017.01. 034. URL https://doi.org/10.1016/j.eswa.2017.01.034.
6 Fernando Dione S. Lima, Francisco Lucas Falcao Pereira, Iago C. Chaves, Javam C. Machado, and João Paulo Pordeus Gomes. Predicting the health degree of hard disk drives with asymmetric and ordinal deep neural models. IEEE Trans. Computers, 70 (2):188–198, 2021. doi: 10.1109/TC.2020.2987018. URL https://doi.org/10. 1109/TC.2020.2987018.
7 Maria de Lourdes M. Silva, Iago C. Chaves, and Javam C. Machado. Private re- verse top-k algorithms applied on public data of covid-19 in the state of ceará. Journal of Information and Data Management, 12(5), Nov. 2021. doi: 10.5753/ jidm.2021.1941. URL https://journals-sol.sbc.org.br/index.php/ jidm/article/view/1941
8 Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, and Javam C. Machado. Using autoencoders for anomaly detection in hard disk drives. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pages 1–7. IEEE, 2020. doi: 10.1109/IJCNN48605.2020.9206689. URL https://doi.org/10.1109/ IJCNN48605.2020.9206689
9 Lucas B. Sena, Francisco D. B. S. Praciano, Iago C. Chaves, Felipe T. Brito, Eduardo Rodrigues Duarte Neto, José Maria Monteiro, and Javam C. Machado. AUDIO-MC: A general framework for multi-context audio classification. In Joaquim Filipe, Michal Smialek, Alexander Brodsky, and Slimane Hammoudi, editors, Proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS, pages 374–383. SCITEPRESS, 2022. doi: 10.5220/0011071500003179. URL https://doi.org/ 10.5220/0011071500003179.
10 Maria Silva, Iago C. Chaves, and Javam C. Machado. LAGOON: achieving bounded individual fairness through classification frequency equalization. J. Braz. Comput. Soc., 30(1):238–251, 2024. doi: 10.5753/JBCS.2024.3468. URL https://doi.org/ 10.5753/jbcs.2024.3468.
11 Iago C. Chaves, Antônio Diogo Forte Martins, Francisco D. B. S. Praciano, Fe- lipe T. Brito, José Maria Monteiro, and Javam C. Machado. BPA: A multi- lingual sentiment analysis approach based on bilstm. In Joaquim Filipe, Mi- chal Smialek, Alexander Brodsky, and Slimane Hammoudi, editors, Proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, Online Streaming, April 25-27, 2022, Volume 1, pages 553–560. SCITEPRESS, 2022. doi: 10.5220/0011071400003179. URL https://doi.org/10.5220/ 0011071400003179.
12 Iago C. Chaves and Javam C. Machado. Differentially private group-by data releasing algorithm. In Proceedings of the 34th Brazilian Symposium on Databases, SBBD 2019, Fortaleza, CE, Brazil, October 7-10, 2019, pages 271–276. SBC, 2019. doi: 10.5753/ SBBD.2019.8835. URL https://doi.org/10.5753/sbbd.2019.8835.
13 Iago C. Chaves, Victor A. E. Farias, Amanda Perez, Diego Mesquita, and Javam C. Ma- chado. Differentially Private Selection Using Smooth Sensitivity . In 2025 IEEE Sym- posium on Security and Privacy (SP), pages 3969–3987, Los Alamitos, CA, USA, May 2025. IEEE Computer Society. doi: 10.1109/SP61157.2025.00216. URL https: //doi.ieeecomputersociety.org/10.1109/SP61157.2025.00216.