Universal Adversarial Perturbations for Vision-Language Pre-trained
Models

Universal Adversarial Perturbations for Vision-Language Pre-trained Models

9 May 2024

Zi Huang

Papers citing "Universal Adversarial Perturbations for Vision-Language Pre-trained Models"

5 / 5 papers shown

Title
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 30 13 0 08 Jun 2024
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 380 4,010 0 28 Jan 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 59 146 0 31 Jan 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 922 0 24 Sep 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016