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 *

122 related articles for article (PubMed ID: 39275418)

  • 1. A Novel Adversarial Example Detection Method Based on Frequency Domain Reconstruction for Image Sensors.
    Huang S; Zhang Z; Song B
    Sensors (Basel); 2024 Aug; 24(17):. PubMed ID: 39275418
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adversarial example defense based on image reconstruction.
    Zhang YA; Xu H; Pei C; Yang G
    PeerJ Comput Sci; 2021; 7():e811. PubMed ID: 35036533
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification.
    Xu Y; Du B; Zhang L
    IEEE Trans Image Process; 2021; 30():8671-8685. PubMed ID: 34648444
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A medical image classification method based on self-regularized adversarial learning.
    Fan Z; Zhang X; Ruan S; Thorstad W; Gay H; Song P; Wang X; Li H
    Med Phys; 2024 Nov; 51(11):8232-8246. PubMed ID: 39078069
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification.
    Wang D; Jin W; Wu Y
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991962
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Defense Against Adversarial Attacks by Reconstructing Images.
    Zhang S; Gao H; Rao Q
    IEEE Trans Image Process; 2021; 30():6117-6129. PubMed ID: 34197323
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clustering Approach for Detecting Multiple Types of Adversarial Examples.
    Choi SH; Bahk TU; Ahn S; Choi YH
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632235
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection.
    Fan J; Wang Z; Wu H; Sun D; Wu J; Lu X
    Neural Netw; 2023 Nov; 168():44-56. PubMed ID: 37741104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Approaching Adversarial Example Classification with Chaos Theory.
    Pedraza A; Deniz O; Bueno G
    Entropy (Basel); 2020 Oct; 22(11):. PubMed ID: 33286969
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Universal Detection Method for Adversarial Examples and Fake Images.
    Lai J; Huo Y; Hou R; Wang X
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591134
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Solving Inverse Problems With Deep Neural Networks - Robustness Included?
    Genzel M; Macdonald J; Marz M
    IEEE Trans Pattern Anal Mach Intell; 2023 Jan; 45(1):1119-1134. PubMed ID: 35119999
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.
    Li X; Goodman D; Liu J; Wei T; Dou D
    Front Artif Intell; 2021; 4():752831. PubMed ID: 35156010
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.
    Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ
    Front Big Data; 2022; 5():822783. PubMed ID: 35592793
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification.
    Da Q; Zhang G; Wang W; Zhao Y; Lu D; Li S; Lang D
    Entropy (Basel); 2023 Sep; 25(9):. PubMed ID: 37761605
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FAD: Fine-Grained Adversarial Detection by Perturbation Intensity Classification.
    Yang JT; Jiang H; Li H; Ye DS; Jiang W
    Entropy (Basel); 2023 Feb; 25(2):. PubMed ID: 36832701
    [TBL] [Abstract][Full Text] [Related]  

  • 17. New Adversarial Image Detection Based on Sentiment Analysis.
    Wang Y; Li T; Li S; Yuan X; Ni W
    IEEE Trans Neural Netw Learn Syst; 2024 Oct; 35(10):14060-14074. PubMed ID: 37204956
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting.
    Nesti F; Biondi A; Buttazzo G
    IEEE Trans Neural Netw Learn Syst; 2023 Mar; 34(3):1329-1341. PubMed ID: 34460388
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
    Arnab A; Miksik O; Torr PHS
    IEEE Trans Pattern Anal Mach Intell; 2020 Dec; 42(12):3040-3053. PubMed ID: 31150338
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adversarially Robust One-Class Novelty Detection.
    Lo SY; Oza P; Patel VM
    IEEE Trans Pattern Anal Mach Intell; 2023 Apr; 45(4):4167-4179. PubMed ID: 35816537
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.