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

Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach

NeurIPS 2021 · Adversarial robustness and security › Certified and empirical robustness · approach: Adversarial training recipes · 1 citations (OpenAlex)

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

• Adversarial Distributional Training for Robust Deep Learning (NeurIPS 2020 · similarity 0.91)
• Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies (ICML 2024 · similarity 0.90)
• Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data (ICLR 2025 · similarity 0.90)
• Enhancing the Adversarial Robustness via Manifold Projection (AAAI 2025 · similarity 0.89)
• Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training (ICML 2024 · similarity 0.89)
• 3SAT: A Simple Self-Supervised Adversarial Training Framework (AAAI 2025 · similarity 0.89)