15 citations · 19 across the 5 of their papers we have counts for
4 papers · 1 filter
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models
Francesco Croce, Matthias Hein
General purpose segmentation models are able to generate (semantic) segmentation masks from a variety of prompts, including visual (points, boxed, etc.) and textual (object names)…
Diffusion Visual Counterfactual Explanations
Maximilian Augustin, Valentyn Boreiko, Francesco Croce +1
Visual Counterfactual Explanations (VCEs) are an important tool to understand the decisions of an image classifier. They are 'small' but 'realistic' semantic changes of the image c…
Revisiting adapters with adversarial training
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
While adversarial training is generally used as a defense mechanism, recent works show that it can also act as a regularizer. By co-training a neural network on clean and adversari…
On the interplay of adversarial robustness and architecture components: patches, convolution and attention
Francesco Croce, Matthias Hein
In recent years novel architecture components for image classification have been developed, starting with attention and patches used in transformers. While prior works have analyze…