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CIFAR10

benchmarkactiveprovisionalcifar10-297fb111·1 events·first seen Jul 21, 2026

Aliases: CIFAR10

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Certified Training for Convolutional Perturbations

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CIFAR-10 CIFAR-100 Split CIFAR-100 AI@HHMI ICML CAM-DF OpenDCAI FinBERT COCOAI Intercode CTF UCI Credit dataset TabICL

Recent events (1)

4arXiv · cs.LG·Jul 21, 2026·source ↗

Certified Training for Convolutional Perturbations achieves 80%+ robust accuracy against motion blur on CIFAR10

A new arXiv preprint introduces a certified training method that encodes convolutional perturbations (e.g., motion blur) to train vision models with formal robustness guarantees. The approach outperforms adversarial training, achieving over 80% robust accuracy against motion blur on CIFAR10 while preserving standard accuracy. The work targets safety-critical deployment scenarios where empirical robustness methods like data augmentation are insufficient due to lack of formal guarantees.

Evaluation and Benchmarking AI Safety Research Certified Training for Convolutional Perturbations CIFAR10