Research map / Adversarial robustness and security / Attacks on text and graphs
Automated Discovery of Adaptive Attacks on Adversarial Defenses
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
- Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack (CVPR 2022 · similarity 0.93)
- On Adaptive Attacks to Adversarial Example Defenses (NeurIPS 2020 · similarity 0.93)
- Efficient Robustness Evaluation via Constraint Relaxation (AAAI 2025 · similarity 0.88)
- AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples (AAAI 2025 · similarity 0.87)
- Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis (CVPR 2025 · similarity 0.86)
- AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses (ICML 2025 · 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.
