Research map / Adversarial robustness and security / Certified and empirical robustness
Fantastic Robustness Measures: The Secrets of Robust Generalization
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
- RobustBench: a standardized adversarial robustness benchmark (NeurIPS 2021 · similarity 0.93)
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift (ICML 2024 · similarity 0.92)
- Disentangling Adversarial Robustness and Generalization (CVPR 2019 · similarity 0.92)
- Benchmarking Adversarial Robustness on Image Classification (CVPR 2020 · similarity 0.92)
- GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models (NeurIPS 2024 · similarity 0.92)
- Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks (CVPR 2025 · similarity 0.91)
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.