Research map / Adversarial robustness and security / Certified and empirical robustness
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
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
- Data-Efficient Double-Win Lottery Tickets from Robust Pre-training (ICML 2022 · similarity 0.88)
- Robust Binary Models by Pruning Randomly-initialized Networks (NeurIPS 2022 · similarity 0.88)
- Sparsity Winning Twice: Better Robust Generalization from More Efficient Training (ICLR 2022 · similarity 0.88)
- Theoretical evidence for adversarial robustness through randomization (NeurIPS 2019 · similarity 0.87)
- Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation (AAAI 2024 · similarity 0.86)
- Enhancing Adversarial Robustness in SNNs with Sparse Gradients (ICML 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.