Adversarial training: a security workout for AI models
Adversarial training (AT) amends the training data of an AI model to make it more robust. How does AT fare against modern attacks? This post covers AT work presented at CVPR ’23.
Better model architecture, better adversarial defense
Adversarial defense is a crucial topic: many attacks exist, and their numbers are surging. This post covers CVPR ’23 work on bolstering model architectures.
Which model architecture is the best in adversarial defense?
A mini-tool for comparison of adversarial defense of various computer vision model architectures, based on the CVPR ’23 work by A. Liu et al.
Real-world AI security: Physical adversarial attacks research from CVPR ’23
Physical adversarial attacks fool AI models with physical object modifications, harming real-world AI security. This post covers CVPR ’23 work on the topic.