Research map / Adversarial robustness and security / Certified and empirical robustness

Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness

ICML 2026 · Adversarial robustness and security › Certified and empirical robustness · approach: Robustness-accuracy trade-off analysis

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Closest papers by meaning

• Improving Adversarial Robustness Requires Revisiting Misclassified Examples (ICLR 2020 · similarity 0.89)
• Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement (CVPR 2024 · similarity 0.89)
• Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data (ICLR 2025 · similarity 0.88)
• TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions (CVPR 2025 · similarity 0.88)
• Long-tailed Adversarial Training with Self-Distillation (ICLR 2025 · similarity 0.88)
• Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off (ICLR 2025 · similarity 0.88)