These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Multi-Source Selection Transfer Learning with Privacy-Preserving. Wu W Neural Process Lett; 2022; 54(6):4921-4950. PubMed ID: 35573261 [TBL] [Abstract][Full Text] [Related]
4. Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? Arcolezi HH; Couchot JF; Renaud D; Al Bouna B; Xiao X Neural Comput Appl; 2022; 34(16):13355-13369. PubMed ID: 35677085 [TBL] [Abstract][Full Text] [Related]
5. Convergence Rates for Differentially Private Statistical Estimation. Chaudhuri K; Hsu D Proc Int Conf Mach Learn; 2012 Jul; 2012():1327-1334. PubMed ID: 25302341 [TBL] [Abstract][Full Text] [Related]
6. Privacy-preserving heterogeneous health data sharing. Mohammed N; Jiang X; Chen R; Fung BC; Ohno-Machado L J Am Med Inform Assoc; 2013 May; 20(3):462-9. PubMed ID: 23242630 [TBL] [Abstract][Full Text] [Related]
7. Efficient differentially private learning improves drug sensitivity prediction. Honkela A; Das M; Nieminen A; Dikmen O; Kaski S Biol Direct; 2018 Feb; 13(1):1. PubMed ID: 29409513 [TBL] [Abstract][Full Text] [Related]
9. A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. Zhang C; Hu X; Xie Y; Gong M; Yu B Front Neurorobot; 2019; 13():112. PubMed ID: 31992979 [TBL] [Abstract][Full Text] [Related]
10. DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing. Li H; Xiong L; Zhang L; Jiang X Proceedings VLDB Endowment; 2014 Aug; 7(13):1677-1680. PubMed ID: 26167358 [TBL] [Abstract][Full Text] [Related]
11. Identifying Anomalies while Preserving Privacy. Asif H; Vaidya J; Papakonstantinou PA IEEE Trans Knowl Data Eng; 2023 Dec; 35(12):12264-12281. PubMed ID: 37974954 [TBL] [Abstract][Full Text] [Related]
12. Private measures, random walks, and synthetic data. Boedihardjo M; Strohmer T; Vershynin R Probab Theory Relat Fields; 2024; 189(1-2):569-611. PubMed ID: 38803615 [TBL] [Abstract][Full Text] [Related]
13. Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests. Le TT; Simmons WK; Misaki M; Bodurka J; White BC; Savitz J; McKinney BA Bioinformatics; 2017 Sep; 33(18):2906-2913. PubMed ID: 28472232 [TBL] [Abstract][Full Text] [Related]
14. Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Gong M; Pan K; Xie Y; Qin AK; Tang Z Neural Netw; 2020 May; 125():131-141. PubMed ID: 32088567 [TBL] [Abstract][Full Text] [Related]
15. Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. Zheng Q; Dong J; Long Q; Su WJ Proc Mach Learn Res; 2020 Jul; 119():11420-11435. PubMed ID: 34291226 [TBL] [Abstract][Full Text] [Related]
16. Medical imaging deep learning with differential privacy. Ziller A; Usynin D; Braren R; Makowski M; Rueckert D; Kaissis G Sci Rep; 2021 Jun; 11(1):13524. PubMed ID: 34188157 [TBL] [Abstract][Full Text] [Related]