On a Variation of Kurosawa-Desmedt Encryption Scheme. - Le Trieu Phong; Wakaha Ogata (IACR Cryptol. ePrint Arch., 2006)

Some Practical Public-Key Encryption Schemes in both Standard Model and Random Oracle Model. - Le Trieu Phong; Wakaha Ogata (IACR Cryptol. ePrint Arch., 2006)

On Some Variations of Kurosawa-Desmedt Public-Key Encryption Scheme. - Le Trieu Phong; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Stateful identity-based encryption scheme: faster encryption and decryption. - Le Trieu Phong; Hiroto Matsuoka; Wakaha Ogata (AsiaCCS, 2008)

Blind HIBE and its Applications to Identity-Based Blind Signature and Blind Decryption. - Le Trieu Phong; Wakaha Ogata (IACR Cryptol. ePrint Arch., 2008)

Provably Secure Convertible Undeniable Signatures with Unambiguity. - Le Trieu Phong; Kaoru Kurosawa; Wakaha Ogata (IACR Cryptol. ePrint Arch., 2009)

New Identity-Based Blind Signature and Blind Decryption Scheme in the Standard Model. - Le Trieu Phong; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Leakage Resilient Strong Key-Insulated Signatures in Public Channel. - Le Trieu Phong; Shin'ichiro Matsuo; Moti Yung (INTRUST, 2010)

A Framework for Constructing Convertible Undeniable Signatures. - Ryo Kikuchi; Le Trieu Phong; Wakaha Ogata (ProvSec, 2010)

Leakage-Resilient RFID Authentication with Forward-Privacy. - Shin'ichiro Matsuo; Le Trieu Phong; Miyako Ohkubo; Moti Yung (RFIDSec, 2010)

Efficiency-Improved Fully Simulatable Adaptive OT under the DDH Assumption. - Kaoru Kurosawa; Ryo Nojima; Le Trieu Phong (IACR Cryptol. ePrint Arch., 2010)

New RSA-Based (Selectively) Convertible Undeniable Signature Schemes. - Le Trieu Phong; Kaoru Kurosawa; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Maximum Leakage Resilient IBE and IPE. - Kaoru Kurosawa; Le Trieu Phong (IACR Cryptol. ePrint Arch., 2011)

Undeniable and Unpretendable Signatures. - Le Trieu Phong; Kaoru Kurosawa; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Leakage Resilient IBE and IPE under the DLIN Assumption. - Kaoru Kurosawa; Le Trieu Phong (ACNS, 2013)

Key-Private Proxy Re-encryption under LWE. - Yoshinori Aono; Xavier Boyen; Le Trieu Phong; Lihua Wang 001 (INDOCRYPT, 2013)

UC-Secure Multi-Session OT Using Tamper-Proof Hardware. - Kaoru Kurosawa; Ryo Nojima; Le Trieu Phong (IACR Cryptol. ePrint Arch., 2013)

Kurosawa-Desmedt Key Encapsulation Mechanism, Revisited. - Kaoru Kurosawa; Le Trieu Phong (IACR Cryptol. ePrint Arch., 2013)

New leakage-resilient CCA-secure public key encryption. - Kaoru Kurosawa; Ryo Nojima; Le Trieu Phong (J. Math. Cryptol., 2013)

Relation between Verifiable Random Functions and Convertible Undeniable Signatures, and New Constructions. - Kaoru Kurosawa; Ryo Nojima; Le Trieu Phong (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

IBE Under k k -LIN with Shorter Ciphertexts and Private Keys. - Kaoru Kurosawa; Le Trieu Phong (ACISP, 2015)

Keyword Revocable Searchable Encryption with Trapdoor Exposure Resistance and Re-generateability. - Keita Emura; Le Trieu Phong; Yohei Watanabe 001 (TrustCom/BigDataSE/ISPA (1), 2015)

Fast and Secure Linear Regression and Biometric Authentication with Security Update. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (IACR Cryptol. ePrint Arch., 2015)

Hardness Estimation of LWE via Band Pruning. - Yoshinori Aono; Le Trieu Phong; Lihua Wang 001 (IACR Cryptol. ePrint Arch., 2015)

Generic Fully Simulatable Adaptive Oblivious Transfer. - Kaoru Kurosawa; Ryo Nojima; Le Trieu Phong (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Scalable and Secure Logistic Regression via Homomorphic Encryption. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (IACR Cryptol. ePrint Arch., 2016)

Proxy Re-Encryption Schemes with Key Privacy from LWE. - Le Trieu Phong; Lihua Wang 001; Yoshinori Aono; Manh Ha Nguyen; Xavier Boyen (IACR Cryptol. ePrint Arch., 2016)

Privacy-Preserving Logistic Regression with Distributed Data Sources via Homomorphic Encryption. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (IEICE Trans. Inf. Syst., 2016)

Privacy-Preserving Deep Learning: Revisited and Enhanced. - Le Trieu Phong; Yoshinori Aono; Takuya Hayashi 001; Lihua Wang 001; Shiho Moriai (ATIS, 2017)

A New Secure Matrix Multiplication from Ring-LWE. - Lihua Wang 001; Yoshinori Aono; Le Trieu Phong (CANS, 2017)

Efficient Key-Rotatable and Security-Updatable Homomorphic Encryption. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (SCC@AsiaCCS, 2017)

Privacy-Preserving Stochastic Gradient Descent with Multiple Distributed Trainers. - Le Trieu Phong (NSS, 2017)

A Generic yet Efficient Method for Secure Inner Product. - Lihua Wang 001; Takuya Hayashi 001; Yoshinori Aono; Le Trieu Phong (NSS, 2017)

Privacy preserving extreme learning machine using additively homomorphic encryption. - Shohei Kuri; Takuya Hayashi 001; Toshiaki Omori; Seiichi Ozawa; Yoshinori Aono; Le Trieu Phong; Lihua Wang 001; Shiho Moriai (SSCI, 2017)

Anonymous and leakage resilient IBE and IPE. - Kaoru Kurosawa; Le Trieu Phong (Des. Codes Cryptogr., 2017)

Input and Output Privacy-Preserving Linear Regression. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (IEICE Trans. Inf. Syst., 2017)

IBE and function-private IBE under linear assumptions with shorter ciphertexts and private keys, and extensions. - Kaoru Kurosawa; Le Trieu Phong (Int. J. Appl. Cryptogr., 2017)

Privacy-Preserving Deep Learning for any Activation Function. - Le Trieu Phong; Tran Thi Phuong (CoRR, 2018)

Efficient Homomorphic Encryption with Key Rotation and Security Update. - Yoshinori Aono; Takuya Hayashi 001; Le Trieu Phong; Lihua Wang 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption. - Le Trieu Phong; Yoshinori Aono; Takuya Hayashi 001; Lihua Wang 001; Shiho Moriai (IEEE Trans. Inf. Forensics Secur., 2018)

On the Convergence Proof of AMSGrad and a New Version. - Tran Thi Phuong; Le Trieu Phong (IEEE Access, 2019)

Privacy-Preserving Deep Learning via Weight Transmission. - Le Trieu Phong; Tran Thi Phuong (IEEE Trans. Inf. Forensics Secur., 2019)

Distributed SignSGD With Improved Accuracy and Network-Fault Tolerance. - Le Trieu Phong; Tran Thi Phuong (IEEE Access, 2020)

Distributed SGD With Flexible Gradient Compression. - Tran Thi Phuong; Le Trieu Phong (IEEE Access, 2020)

Communication-Efficient Distributed SGD with Error-Feedback, Revisited. - Tran Thi Phuong; Le Trieu Phong (Int. J. Comput. Intell. Syst., 2021)

Decentralized Descent Optimization With Stochastic Gradient Signs for Device-to-Device Networks. - Tran Thi Phuong; Le Trieu Phong (IEEE Wirel. Commun. Lett., 2021)

Privacy-Preserving Federated Learning for Detecting Fraudulent Financial Transactions in Japanese Banks. - Sachiko Kanamori; Taeko Abe; Takuma Ito; Keita Emura; Lihua Wang 001; Shuntaro Yamamoto; Le Trieu Phong; Kaien Abe; Sangwook Kim; Ryo Nojima; Seiichi Ozawa; Shiho Moriai (J. Inf. Process., 2022)

Distributed differentially-private learning with communication efficiency. - Tran Thi Phuong; Le Trieu Phong (J. Syst. Archit., 2022)

Decentralized Stochastic Optimization With Random Attendance. - Tran Thi Phuong; Le Trieu Phong (IEEE Signal Process. Lett., 2022)

Distributed Stochastic Gradient Descent With Compressed and Skipped Communication. - Tran Thi Phuong; Le Trieu Phong; Kazuhide Fukushima (IEEE Access, 2023)

Differentially private stochastic gradient descent via compression and memorization. - Le Trieu Phong; Tran Thi Phuong (J. Syst. Archit., 2023)

Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise? - Itaru Kaneko; Le Trieu Phong; Keita Emura; Emi Yuda (J. Adv. Comput. Intell. Intell. Informatics, 2023)

DP-ACO: Differentially Private Average Consensus Optimization in Decentralized Learning. - Tran Thi Phuong; Le Trieu Phong (CISIS, 2024)

New Convergence Analysis of the BEER Algorithm in Decentralized Nonconvex Optimization. - Tran Thi Phuong; Le Trieu Phong (CISIS, 2024)

Differentially Private Extreme Learning Machine. - Hajime Ono; Tran Thi Phuong; Le Trieu Phong (MDAI, 2024)

Frameworks for Privacy-Preserving Federated Learning. - Le Trieu Phong; Tran Thi Phuong; Lihua Wang 001; Seiichi Ozawa (IEICE Trans. Inf. Syst., 2024)

DP-FedELM: Differentially Private Federated Extreme Learning Machine. - Hajime Ono; Tran Thi Phuong; Le Trieu Phong (AINA (3), 2025)