BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 38606303)

  • 1. Understanding Deep Gradient Leakage via Inversion Influence Functions.
    Zhang H; Hong J; Deng Y; Mahdavi M; Zhou J
    Adv Neural Inf Process Syst; 2023 Dec; 36():3921-3944. PubMed ID: 38606303
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Do Gradient Inversion Attacks Make Federated Learning Unsafe?
    Hatamizadeh A; Yin H; Molchanov P; Myronenko A; Li W; Dogra P; Feng A; Flores MG; Kautz J; Xu D; Roth HR
    IEEE Trans Med Imaging; 2023 Jul; 42(7):2044-2056. PubMed ID: 37021996
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recover User's Private Training Image Data by Gradient in Federated Learning.
    Gong H; Jiang L; Liu X; Wang Y; Wang L; Zhang K
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data.
    Ziegler J; Pfitzner B; Schulz H; Saalbach A; Arnrich B
    Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35890875
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wasserstein Distance-Based Deep Leakage from Gradients.
    Wang Z; Peng C; He X; Tan W
    Entropy (Basel); 2023 May; 25(5):. PubMed ID: 37238565
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LFighter: Defending against the label-flipping attack in federated learning.
    Jebreel NM; Domingo-Ferrer J; Sánchez D; Blanco-Justicia A
    Neural Netw; 2024 Feb; 170():111-126. PubMed ID: 37977088
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science.
    Li M; Zhou J; Hu J; Fan W; Zhang Y; Gu Y; Karypis G
    ACS Omega; 2021 Oct; 6(41):27233-27238. PubMed ID: 34693143
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Membership inference attack on differentially private block coordinate descent.
    Riaz S; Ali S; Wang G; Latif MA; Iqbal MZ
    PeerJ Comput Sci; 2023; 9():e1616. PubMed ID: 37869463
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Aligning the domains in cross domain model inversion attack.
    Zhang Z; Huang J
    Neural Netw; 2024 Jun; 178():106490. PubMed ID: 38968777
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ABCAttack: A Gradient-Free Optimization Black-Box Attack for Fooling Deep Image Classifiers.
    Cao H; Si C; Sun Q; Liu Y; Li S; Gope P
    Entropy (Basel); 2022 Mar; 24(3):. PubMed ID: 35327923
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Toward Visual Distortion in Black-Box Attacks.
    Li N; Chen Z
    IEEE Trans Image Process; 2021; 30():6156-6167. PubMed ID: 34214038
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Defense against membership inference attack in graph neural networks through graph perturbation.
    Wang K; Wu J; Zhu T; Ren W; Hong Y
    Int J Inf Secur; 2023; 22(2):497-509. PubMed ID: 36540905
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Privacy-enhanced multi-party deep learning.
    Gong M; Feng J; Xie Y
    Neural Netw; 2020 Jan; 121():484-496. PubMed ID: 31648120
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accessibility of covariance information creates vulnerability in Federated Learning frameworks.
    Huth M; Arruda J; Gusinow R; Contento L; Tacconelli E; Hasenauer J
    Bioinformatics; 2023 Sep; 39(9):. PubMed ID: 37647639
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
    Li X; Gu Y; Dvornek N; Staib LH; Ventola P; Duncan JS
    Med Image Anal; 2020 Oct; 65():101765. PubMed ID: 32679533
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks.
    Theagarajan R; Bhanu B
    IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):9503-9520. PubMed ID: 34748482
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An investigation of privacy preservation in deep learning-based eye-tracking.
    Seyedi S; Jiang Z; Levey A; Clifford GD
    Biomed Eng Online; 2022 Sep; 21(1):67. PubMed ID: 36100851
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Generative Image Reconstruction From Gradients.
    Sotthiwat E; Zhen L; Zhang C; Li Z; Goh RSM
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38598391
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.