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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 36811011)

  • 21. A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning.
    Wang H; Li G; Liu X; Lin L
    IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1725-1737. PubMed ID: 33074803
    [TBL] [Abstract][Full Text] [Related]  

  • 22. How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA).
    Maliamanis TV; Apostolidis KD; Papakostas GA
    Biomedicines; 2022 Oct; 10(10):. PubMed ID: 36289807
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning.
    Apostolidis KD; Papakostas GA
    J Imaging; 2022 May; 8(6):. PubMed ID: 35735954
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.
    Allyn J; Allou N; Vidal C; Renou A; Ferdynus C
    Medicine (Baltimore); 2020 Dec; 99(50):e23568. PubMed ID: 33327315
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Adversarial Examples for Hamming Space Search.
    Yang E; Liu T; Deng C; Tao D
    IEEE Trans Cybern; 2020 Apr; 50(4):1473-1484. PubMed ID: 30561358
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Learning Latent Representation for IoT Anomaly Detection.
    Vu L; Cao VL; Nguyen QU; Nguyen DN; Hoang DT; Dutkiewicz E
    IEEE Trans Cybern; 2022 May; 52(5):3769-3782. PubMed ID: 32946404
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning.
    Minagi A; Hirano H; Takemoto K
    J Imaging; 2022 Feb; 8(2):. PubMed ID: 35200740
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Defending against adversarial attacks on Covid-19 classifier: A denoiser-based approach.
    Kansal K; Krishna PS; Jain PB; R S; Honnavalli P; Eswaran S
    Heliyon; 2022 Oct; 8(10):e11209. PubMed ID: 36311356
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning models for electrocardiograms are susceptible to adversarial attack.
    Han X; Hu Y; Foschini L; Chinitz L; Jankelson L; Ranganath R
    Nat Med; 2020 Mar; 26(3):360-363. PubMed ID: 32152582
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors.
    Kurniawan A; Ohsita Y; Murata M
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433250
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems.
    Zhang H; Tan H; Zhu B; Wang L; Shafiq M; Gu Z
    J Healthc Eng; 2023; 2023():1177635. PubMed ID: 36875749
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing.
    Yu J; Qiu K; Wang P; Su C; Fan Y; Cao Y
    BMC Med Inform Decis Mak; 2023 Jul; 23(1):115. PubMed ID: 37415186
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Adversarial Attack and Defense in Breast Cancer Deep Learning Systems.
    Li Y; Liu S
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627858
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Defense against adversarial attacks based on color space transformation.
    Wang H; Wu C; Zheng K
    Neural Netw; 2024 May; 173():106176. PubMed ID: 38402810
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Towards Adversarial Robustness with Early Exit Ensembles.
    Qendro L; Mascolo C
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():313-316. PubMed ID: 36086386
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep Learning Based Intrusion Detection With Adversaries.
    Wang Z
    IEEE Access; 2018; 6():. PubMed ID: 38882674
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Reversing skin cancer adversarial examples by multiscale diffusive and denoising aggregation mechanism.
    Wang Y; Li Y; Shen Z; Qiao Y
    Comput Biol Med; 2023 Sep; 164():107310. PubMed ID: 37572441
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.
    Joel MZ; Umrao S; Chang E; Choi R; Yang DX; Duncan JS; Omuro A; Herbst R; Krumholz HM; Aneja S
    JCO Clin Cancer Inform; 2022 Feb; 6():e2100170. PubMed ID: 35271304
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology.
    Zbrzezny AM; Grzybowski AE
    J Clin Med; 2023 May; 12(9):. PubMed ID: 37176706
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Adversarial-Aware Deep Learning System Based on a Secondary Classical Machine Learning Verification Approach.
    Alkhowaiter M; Kholidy H; Alyami MA; Alghamdi A; Zou C
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514582
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.