publications
2023
- Efficient differentially private kernel support vector classifier for multi-class classificationInformation Sciences 2023
2022
- Efficient homomorphic encryption framework for privacy-preserving regressionApplied Intelligence 2022
- Efficient Generation of Program Execution HashIEEE Access 2022
- WWWFairness Audit of Machine Learning Models with Confidential ComputingIn The Web4Good special track at The ACM Web Conference 2022
- WWWPrivacy-preserving Fair Learning of Support Vector Machine with Homomorphic EncryptionIn The Web4Good special track at The ACM Web Conference 2022
2021
- Privacy-preserving evaluation for support vector clusteringElectronics Letters 2021
- IEEE TKDEStability Analysis of Denoising Autoencoders Based on Dynamical Projection SystemIEEE Transactions on Knowledge and Data Engineering 2021
2020
- HE-friendly algorithm for privacy-preserving SVM trainingIEEE Access 2020
- NeurIPsLipschitz-Certifiable Training with a Tight Outer BoundIn Advances in Neural Information Processing Systems 2020
2019
- NNsSemi-supervised distributed representations of documents for sentiment analysisNeural Networks 2019
- Security-preserving support vector machine with fully homomorphic encryptionIn SafeAI@ AAAI 2019
- Learning of indiscriminate distributions of document embeddings for domain adaptationIntelligent Data Analysis 2019
2018
- PRLearning representative exemplars using one-class Gaussian process regressionPattern Recognition 2018
- Information-based boundary equilibrium generative adversarial networks with interpretable representation learningComputational intelligence and neuroscience 2018
- Defensive denoising methods against adversarial attack2018
- Instance weighting domain adaptation using distance kernelIndustrial Engineering & Management Systems 2018
2017
- Inductive ensemble clustering using kernel support matchingElectronics Letters 2017
2016
- Predicting market impact costs using nonparametric machine learning modelsPLoS One 2016