Research map / Adversarial robustness and security / Certified and empirical robustness
Decision Boundary Analysis of Adversarial Examples
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
- Hold me tight! Influence of discriminative features on deep network boundaries (NeurIPS 2020 · similarity 0.90)
- Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality (ICLR 2018 · similarity 0.89)
- Adversarial Examples in Multi-Layer Random ReLU Networks (NeurIPS 2021 · similarity 0.87)
- Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning (ICML 2024 · similarity 0.87)
- Contrasting Adversarial Perturbations: The Space of Harmless Perturbations (AAAI 2025 · similarity 0.86)
- Theoretical Understanding of Learning from Adversarial Perturbations (ICLR 2024 · similarity 0.86)
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.
