Reading Isn't Believing: Adversarial Attacks On Multi-Modal Neurons

18 March 2021

Papers citing "Reading Isn't Believing: Adversarial Attacks On Multi-Modal Neurons"

6 / 6 papers shown

Title
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu L. Zhang Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 49 0 0 02 May 2025
Evaluating Durability: Benchmark Insights into Multimodal Watermarking Jielin Qiu William Jongwon Han Xuandong Zhao Shangbang Long Christos Faloutsos Lei Li 51 1 0 06 Jun 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model Hao-Ran Cheng Erjia Xiao Jindong Gu Le Yang Jinhao Duan Jize Zhang Jiahang Cao Kaidi Xu Renjing Xu 24 6 0 29 Feb 2024
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models Erfan Shayegani Yue Dong Nael B. Abu-Ghazaleh 13 126 0 26 Jul 2023
Contrastive language and vision learning of general fashion concepts P. Chia Giuseppe Attanasio Federico Bianchi Silvia Terragni A. Magalhães Diogo Gonçalves C. Greco Jacopo Tagliabue CLIP 13 42 0 08 Apr 2022
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning Krishna Srinivasan K. Raman Jiecao Chen Michael Bendersky Marc Najork VLM 187 307 0 02 Mar 2021