Mandal, Abhishek ORCID: 0000-0002-5275-4192, Leavy, Susan ORCID: 0000-0002-3679-2279 and Little, Suzanne ORCID: 0000-0003-3281-3471 (2023) Biased attention: do vision transformers amplify gender bias more than convolutional neural networks? In: 34th British Machine Vision Conference 2023, {BMVC}, 20-24 Nov 2024, Aberdeen, Scotland. ISBN https://proceedings.bmvc2023.org/629/

Mandal, Abhishek ORCID: 0000-0002-5275-4192, Little, Suzanne ORCID: 0000-0003-3281-3471 and Leavy, Susan ORCID: 0000-0002-3679-2279 (2023) Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. In: 25th International Conference on Multimodal Interaction (ICMI ’23), October 9–13, 2023, Paris. ISBN 979-8-4007-0055-2/23/10

Mandal, Abhishek ORCID: 0000-0002-5275-4192, Little, Suzanne ORCID: 0000-0003-3281-3471 and Leavy, Susan ORCID: 0000-0002-3679-2279 (2023) Multimodal bias: assessing gender bias in computer vision models with NLP techniques. In: 25th International Conference on Multimodal Interaction (ICMI '23), 9-13 Oct 2023, Paris. ISBN 979-8-4007-0055-2

Mandal, Abhishek ORCID: 0000-0002-5275-4192, Little, Suzanne ORCID: 0000-0003-3281-3471 and Leavy, Susan ORCID: 0000-0002-3679-2279 (2023) Gender bias in multimodal models a transnational feminist approach considering geographical region and culture. In: International Workshop on Algorithmic Bias in Search and Recommendation, 2 Apr 2022, Dublin, Ireland. ISBN 978-3-031-37248-3

Mandal, Abhishek ORCID: 0000-0002-5275-4192, Leavy, Susan ORCID: 0000-0002-3679-2279 and Little, Suzanne ORCID: 0000-0003-3281-3471 (2023) Multimodal composite association score: measuring gender bias in generative multimodal models. In: Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023), 2 Apr 2023, Dublin, Ireland. ISBN 978-3-031-37248-3

Mandal, Abhishek, Leavy, Susan and Little, Suzanne ORCID: 0000-0003-3281-3471 (2021) Dataset diversity: measuring and mitigating geographical bias in image search and retrieval. In: 1st International Workshop on Trustworthy AI for Multimedia Computing, 24 Oct 2021, Chengdu, China. ISBN 978-1-4503-8674-6