Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques

15 July 2024

Papers citing "Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques"

5 / 5 papers shown

Title
BRAVE: Broadening the visual encoding of vision-language models Ouguzhan Fatih Kar A. Tonioni Petra Poklukar Achin Kulshrestha Amir Zamir Federico Tombari MLLM VLM 42 25 0 10 Apr 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models Christian Schlarmann Naman D. Singh Francesco Croce Matthias Hein VLM AAML 33 36 0 19 Feb 2024
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models Siddharth Karamcheti Suraj Nair Ashwin Balakrishna Percy Liang Thomas Kollar Dorsa Sadigh MLLM VLM 54 95 0 12 Feb 2024
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering Rabiul Awal Le Zhang Aishwarya Agrawal LRM 38 12 0 16 Jun 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023