Research map / Adversarial robustness and security / Certified and empirical robustness

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

NeurIPS 2022 · Adversarial robustness and security › Certified and empirical robustness · approach: Attack evaluation and defense critique · 5 citations (OpenAlex)

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

• Accurate, reliable and fast robustness evaluation (NeurIPS 2019 · similarity 0.92)
• Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks (ICML 2020 · similarity 0.92)
• Increasing Confidence in Adversarial Robustness Evaluations (NeurIPS 2022 · similarity 0.91)
• AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples (AAAI 2025 · similarity 0.90)
• Efficient Robustness Evaluation via Constraint Relaxation (AAAI 2025 · similarity 0.89)
• Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data (ICLR 2025 · similarity 0.88)