On Imagenette and a 1000-image ImageNet sample, learned compression (HiFiC, ELIC) defends image classifiers against adversarial examples better than JPEG, especially for Vision Transformers, and sequential compression rounds add further robustness.
Towards evaluating the robustness of neural networks, 2017
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Human Aligned Compression for Robust Models
On Imagenette and a 1000-image ImageNet sample, learned compression (HiFiC, ELIC) defends image classifiers against adversarial examples better than JPEG, especially for Vision Transformers, and sequential compression rounds add further robustness.