On the Adversarial Robustness of Multi-Modal Foundation Models. - Christian Schlarmann; Matthias Hein 001 (ICCV (Workshops), 2023)

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models. - Christian Schlarmann; Naman Deep Singh; Francesco Croce; Matthias Hein 001 (ICML, 2024)

Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics. - Francesco Croce; Christian Schlarmann; Naman Deep Singh; Matthias Hein 001 (SaTML, 2025)

FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens. - Christian Schlarmann; Francesco Croce; Nicolas Flammarion; Matthias Hein 001 (CoRR, 2025)

Robustness in Both Domains: CLIP Needs a Robust Text Encoder. - Elías Abad-Rocamora; Christian Schlarmann; Naman Deep Singh; Yongtao Wu; Matthias Hein 001; Volkan Cevher (CoRR, 2025)

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions. - Jan Nikolas Morshuis; Christian Schlarmann; Thomas Küstner; Christian F. Baumgartner; Matthias Hein 001 (CoRR, 2025)