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20232026
most citedRobust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

6 citations · 7 across the 10 of their papers we have counts for

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cs.CV2023

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)…

cs.CV2023

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations

Maximilian Augustin, Yannic Neuhaus, Matthias Hein

While deep learning has led to huge progress in complex image classification tasks like ImageNet, unexpected failure modes, e.g. via spurious features, call into question how relia…