Adventures of Trustworthy Vision-Language Models: A Survey

7 December 2023

Papers citing "Adventures of Trustworthy Vision-Language Models: A Survey"

10 / 10 papers shown

Title
Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects Agnese Chiatti Sara Bernardini Lara Shibelski Godoy Piccolo Viola Schiaffonati Matteo Matteucci 58 0 0 08 May 2025
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering Jie Ma Min Hu Pinghui Wang Wangchun Sun Lingyun Song Hongbin Pei Jun Liu Youtian Du 32 4 0 18 Apr 2024
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms S. Mittal K. Thakral Richa Singh Mayank Vatsa Tamar Glaser Cristian Canton Ferrer Tal Hassner FaML 21 3 0 24 Oct 2023
On the Adversarial Robustness of Multi-Modal Foundation Models Christian Schlarmann Matthias Hein AAML 102 84 0 21 Aug 2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning Jaspreet Ranjit Tianlu Wang Baishakhi Ray Vicente Ordonez 31 2 0 14 Mar 2023
Gender and Racial Bias in Visual Question Answering Datasets Yusuke Hirota Yuta Nakashima Noa Garcia FaML 127 46 0 17 May 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 35 26 0 07 Dec 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 178 256 0 10 Nov 2021
On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh Akshay Agarwal Maneet Singh Shruti Nagpal Mayank Vatsa CVBM AAML 33 65 0 07 Feb 2020
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