Abhishek Mandal

According to our database, Abhishek Mandal authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey.

Marion Bartl, Abhishek Mandal, Susan Leavy, Suzanne Little

ACM Comput. Surv., June, 2025

2024

Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models.

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques.

Teerath Kumar, Abhishek Mandal, Susan Leavy, Suzanne Little, Alessandra Mileo, Malika Bendechache

Proceedings of the 3rd Workshop on Bias, 2024

2023

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models.

Abhishek Mandal, Susan Leavy, Suzanne Little

CoRR, 2023

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques.

Abhishek Mandal, Suzanne Little, Susan Leavy

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Measuring Bias in Multimodal Models: Multimodal Composite Association Score.

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture.

Abhishek Mandal, Suzanne Little, Susan Leavy

Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2021

Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval.

Abhishek Mandal, Susan Leavy, Suzanne Little

Proceedings of the Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, 2021