Research map / Adversarial robustness and security / Certified and empirical robustness
When Flatness Does (Not) Guarantee Adversarial Robustness
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
- Robustness via Curvature Regularization, and Vice Versa (CVPR 2019 · similarity 0.91)
- Fantastic Robustness Measures: The Secrets of Robust Generalization (NeurIPS 2023 · similarity 0.89)
- A Flat Minima Perspective on Understanding Augmentations and Model Robustness (AAAI 2026 · similarity 0.89)
- Prompting Adversarial Transferability via Path Flatness Attack (AAAI 2026 · similarity 0.89)
- Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies (ICML 2024 · similarity 0.88)
- Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data (ICLR 2025 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
