Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks

11 September 2024

Papers citing "Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks"

7 / 7 papers shown

Title
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models H. Malik Fahad Shamshad Muzammal Naseer Karthik Nandakumar F. Khan Salman Khan AAML MLLM VLM 64 0 0 03 Feb 2025
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey Xuannan Liu Xing Cui Peipei Li Zekun Li Huaibo Huang Shuhan Xia Miaoxuan Zhang Yueying Zou Ran He AAML 51 4 0 14 Nov 2024
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency Ahmed Imteaj Md Zarif Hossain Saika Zaman Abdur R. Shahid VLM 11 0 0 09 Sep 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 31 5 0 19 Feb 2024
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models Yongshuo Zong Ondrej Bohdal Tingyang Yu Yongxin Yang Timothy M. Hospedales VLM MLLM 49 56 0 03 Feb 2024
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts Yichen Gong Delong Ran Jinyuan Liu Conglei Wang Tianshuo Cong Anyu Wang Sisi Duan Xiaoyun Wang MLLM 127 116 0 09 Nov 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 213 327 0 23 Aug 2022