• Yen Tran
    Yen Tran

    Yen Tran

    PhD Student at UNSW

    • Canberra, Australia
    • Email
    • Github
    • Google Scholar
    • ORCID

    • HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data [pdf]
      • Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams
      • arXiv:2104.09164. 2021.
    • Secure and Differentially Private Bayesian Learning on Distributed Data [pdf]
      • Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee
      • arXiv:2005.11007. 2020.
    • Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation [pdf] [code]
      • Miran Kim, Arif Harmanci, Jean-Philippe Bossuat, Sergiu Carpov, Jung Hee Cheon, Ilaria Chillotti, Wonhee Cho, David Froelicher, Nicolas Gama, Mariya Georgieva, Seungwan Hong, Jean-Pierre Hubaux, Duhyeong Kim, Kristin Lauter, Yiping Ma, Lucila Ohno-Machado, Heidi Sofia, Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, Xiaoqian Jiang
      • Cell Systems; 2021.
    • Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts [pdf]
      • Hao Chen, Wei Dai, Miran Kim, Yongsoo Song
      • Proceedings of the International Conference on Applied Cryptography and Network Security (ACNS), 2021.
    • Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning [pdf]
      • Hao Chen, Miran Kim, Ilya Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh
      • Advances in Cryptology – ASIACRYPT, 2020.
    • Homomorphic Computation of Local Alignment [pdf]
      • Magsarjav Bataa, Siwoo Song, Kunsoo Park, Miran Kim, Jung Hee Cheon, and Sun Kim.
      • IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020.
    • A Secure System for Genomics Clinical Decision Support [pdf]
      • Seemeen Karimi, Xiaoqian Jiang, Robert Dolin, Miran Kim, Aziz Boxwala
      • Journal of Biomedical Informatics; 112, 2020.
    • Semi-parallel Logistic Regression for GWAS on Encrypted Data [pdf]
      • Miran Kim, Yongsoo Song, Baiyu Li, Daniele Micciancio
      • BMC Medical Genomics; 13(7):1-13, 2020.
    • SCOR: A secure international informatics infrastructure to investigate COVID-19 [pdf]
      • J L Raisaro, Francesco Marino, Juan Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Harmanci, Miran Kim, Yejin Kim, Jeffrey Klann, Catherine Klersy, Bradley A Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T C Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G Habib, Trevor Cohen, Adam Wilcox, Hamisu M Salihu, Heidi Sofia, Xiaoqian Jiang, J P Hubaux
      • Journal of the American Medical Informatics Association (JAMIA); ocaa172, 2020.
    • Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference [pdf]
      • Hao Chen, Wei Dai, Miran Kim, Yongsoo Song
      • Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019.
    • Secure and Differentially Private Logistic Regression for Horizontally Distributed Data [pdf]
      • Miran Kim, Junghye Lee, Lucila Ohno-Machado, Xiaoqian Jiang
      • IEEE Transactions on Information Forensics and Security (TIFS); 15(1):695-710, 2019.
    • Homomorphic encryption for protecting genome privacy [pdf]
      • Miran Kim
      • IEEE EMBS International Conference on Biomedical and Health Informatics-BHI, 2019.
    • SecureLR: Secure logistic regression model via a hybrid cryptographic protocol [pdf]
      • Yichen Jiang, Jenny Hamer, Chenghong Wang, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md Nazmus Sadat, Shuang Wang
      • IEEE/ACM Transactions on Computational Biology and Bioinformatics; 16(1):113-123, 2019.
    • Secure Outsourced Matrix Computation and Application to Neural Networks [pdf] [code]
      • Xiaoqian Jiang, Miran Kim, Kristin Lauter, Yongsoo Song
      • Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS), 2018.
    • A full RNS Variant of approximate homomorphic encryption [pdf] [code]
      • Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song
      • Proceedings of the International Conference on Selected Areas in Cryptography (SAC), 2018.
    • Bootstrapping for approximate homomorphic encryption [pdf] [code]
      • Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song
      • Advances in Cryptology – EUROCRYPT, 2018
    • Logistic regression model training based on the approximate homomorphic encryption [pdf] [code]
      • Andrey Kim, Yongsoo Song, Miran Kim, Kiwoo Lee, Jung Hee Cheon
      • BMC Medical Genomics; 11(Suppl 4):83, 2018.
    • Secure logistic regression based on homomorphic encryption: design and evaluation [pdf] [code]
      • Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, Xiaoqian Jiang
      • JMIR Medical Informatics; 6(2), 2018.
    • Homomorphic encryption for arithmetic of approximate numbers [pdf] [code]
      • Jung Hee Cheon, Andrey Kim, Miran Kim, Yongsoo Song
      • Advances in Cryptology – ASIACRYPT, 2017.
    • A standard API FOR RLWE-based homomorphic encryption [url]
      • Michael Brenner, Wei Dai, Shai Halevi, Kyoohyung Han, Amir Jalali, Miran Kim, Kim Laine, Alex Malozemoff, Pascal Paillier, Yuriy Polyakov, Kurt Rohloff, Erkay Savas, Berk Sunar
      • Draft Homomorphic Encryption Standard, available at HomomorphicEncryption.org. 2017.
    • Secure searching of biomarkers using hybrid homomorphic encryption scheme [pdf] [code]
      • Miran Kim, Yongsoo Song, Jung Hee Cheon
      • BMC Medical Genomics; 10(42), 2017.
    • Encrypting controller using fully homomorphic encryption for security of cyber-physical systems [pdf]
      • Junsoo Kim, Chanhwa Lee, Hyungboo Shim, Jung Hee Cheon, Andrey Kim, Miran Kim, Yongsoo Song
      • Proceedings of the IFAC Workshop on Distributed Estimation and Control in Networked Systems (NECSYS), 2016.
    • Optimized search-and-compute circuits and their application to query evaluation on encrypted data [pdf]
      • Jung Hee Cheon, Miran Kim, Myungsun Kim
      • IEEE Transactions on Information Forensics and Security (TIFS); 11(1):188–199, 2016.
    • HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS [pdf]
      • Shuang Wang, Yuchen Zhang, Wenrui Dai, Kristin Lauter, Miran Kim, Yuzhe Tang, Hongkai Xiong, Xiaoqian Jiang
      • Bioinformatics; 32(2):211–218, 2016.
    • Private genome analysis through homomorphic encryption [pdf]
      • Miran Kim, Kristin Lauter
      • BMC medical informatics and decision making; 15(Suppl 5):S3, 2015.
    • SECRET: Secure Edit-distance Computation over homomoRphic Encrypted daTa [pdf]
      • Yuchen Zhang, Wenrui Dai, Shuang Wang, Miran Kim, Kristin Lauter, Jun Sakuma, Hongkai Xiong, Xiaoqian Jiang
      • Annual Translational Bioinformatics Conference (TBC), 2015.
    • Search-and-compute on encrypted data [pdf]
      • Jung Hee Cheon, Miran Kim, Myungsun Kim
      • Proceedings of the Financial Cryptography and Data Security (FC), 2015.
    • Homomorphic computation of edit distance [pdf]
      • Jung Hee Cheon, Miran Kim, Kristin Lauter
      • Proceedings of the Financial Cryptography and Data Security (FC), 2015.
    Sitemap
    • Follow:
    • GitHub
    • Feed
    © 2021 Yen Tran. Powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.