BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

244 related articles for article (PubMed ID: 33894652)

  • 1. Implicit adversarial data augmentation and robustness with Noise-based Learning.
    Panda P; Roy K
    Neural Netw; 2021 Sep; 141():120-132. PubMed ID: 33894652
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards Adversarial Robustness for Multi-Mode Data through Metric Learning.
    Khan S; Chen JC; Liao WH; Chen CS
    Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37448021
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Training Robust Deep Neural Networks via Adversarial Noise Propagation.
    Liu A; Liu X; Yu H; Zhang C; Liu Q; Tao D
    IEEE Trans Image Process; 2021; 30():5769-5781. PubMed ID: 34161231
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.
    Tavakoli M; Agostinelli F; Baldi P
    Neural Netw; 2021 Aug; 140():1-12. PubMed ID: 33743319
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Towards Unified Robustness Against Both Backdoor and Adversarial Attacks.
    Niu Z; Sun Y; Miao Q; Jin R; Hua G
    IEEE Trans Pattern Anal Mach Intell; 2024 Apr; PP():. PubMed ID: 38652616
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks.
    Zhang H; Cheng J; Zhang J; Liu H; Wei Z
    Neural Netw; 2023 Aug; 165():164-174. PubMed ID: 37295205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Boosting adversarial robustness via self-paced adversarial training.
    He L; Ai Q; Yang X; Ren Y; Wang Q; Xu Z
    Neural Netw; 2023 Oct; 167():706-714. PubMed ID: 37729786
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mitigating Accuracy-Robustness Trade-Off Via Balanced Multi-Teacher Adversarial Distillation.
    Zhao S; Wang X; Wei X
    IEEE Trans Pattern Anal Mach Intell; 2024 Jun; PP():. PubMed ID: 38889035
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples.
    Mahmood K; Gurevin D; van Dijk M; Nguyen PH
    Entropy (Basel); 2021 Oct; 23(10):. PubMed ID: 34682083
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Improving Adversarial Robustness of Deep Neural Networks via Adaptive Margin Evolution.
    Ma L; Liang L
    Neurocomputing (Amst); 2023 Sep; 551():. PubMed ID: 37587916
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Adversary Agnostic Robust Deep Reinforcement Learning.
    Qu X; Gupta A; Ong YS; Sun Z
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6146-6157. PubMed ID: 34936559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robustifying models against adversarial attacks by Langevin dynamics.
    Srinivasan V; Rohrer C; Marban A; Müller KR; Samek W; Nakajima S
    Neural Netw; 2021 May; 137():1-17. PubMed ID: 33515855
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system.
    Sheikh BUH; Zafar A
    Multimed Tools Appl; 2023 May; ():1-27. PubMed ID: 37362697
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adversarially robust neural networks with feature uncertainty learning and label embedding.
    Wang R; Ke H; Hu M; Wu W
    Neural Netw; 2024 Apr; 172():106087. PubMed ID: 38160621
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning.
    Li P; Huang J; Wu H; Zhang Z; Qi C
    Neural Netw; 2024 Jun; 174():106199. PubMed ID: 38452664
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adversarial and Random Transformations for Robust Domain Adaptation and Generalization.
    Xiao L; Xu J; Zhao D; Shang E; Zhu Q; Dai B
    Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300000
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.