Bridging Interpretability and Robustness Using LIME-Guided Model Refinement

Documenti analoghi

• Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
  di: Wang, Longwei, et al.
  Pubblicazione: (2024)
• Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks
  di: Wang, Longwei, et al.
  Pubblicazione: (2026)
• Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
  di: Wang, Longwei, et al.
  Pubblicazione: (2025)
• Q-LIME $π$: A Quantum-Inspired Extension to LIME
  di: Vargas, Nelson Colón
  Pubblicazione: (2024)
• Explanation-Guided Adversarial Training for Robust and Interpretable Models
  di: Chen, Chao, et al.
  Pubblicazione: (2026)