Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. - Abhishek Mandal; Susan Leavy; Suzanne Little (Trustworthy AI @ ACM Multimedia, 2021)

Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. - Abhishek Mandal; Suzanne Little; Susan Leavy (AEQUITAS@ECAI, 2023)

Measuring Bias in Multimodal Models: Multimodal Composite Association Score. - Abhishek Mandal; Susan Leavy; Suzanne Little (BIAS, 2023)

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? - Abhishek Mandal; Susan Leavy; Suzanne Little (BMVC, 2023)

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. - Abhishek Mandal; Suzanne Little; Susan Leavy (ICMI, 2023)

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (CoRR, 2023)

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. - Teerath Kumar; Abhishek Mandal; Susan Leavy; Suzanne Little; Alessandra Mileo; Malika Bendechache (BEWARE@AI*IA, 2024)

Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (ECCV Workshops (22), 2024)

Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey. - Marion Bartl; Abhishek Mandal; Susan Leavy; Suzanne Little (ACM Comput. Surv., 2025)