Research map / Adversarial robustness and security / Certified and empirical robustness
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
Check 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
- A Direct Approach to Robust Deep Learning Using Adversarial Networks (ICLR 2019 · similarity 0.92)
- On Adversarial Training without Perturbing all Examples (ICLR 2024 · similarity 0.91)
- Countering Adversarial Images using Input Transformations (ICLR 2018 · similarity 0.91)
- Constructing Unrestricted Adversarial Examples with Generative Models (NeurIPS 2018 · similarity 0.91)
- Are adversarial examples inevitable? (ICLR 2019 · similarity 0.90)
- Adversarial Machine Learning at Scale (ICLR 2017 · similarity 0.90)
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.