Complete list of papers available at: Google Scholar Profile: Link
Journals and Book Chapters:
1. Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, and Anjali Agrawal. "Multi-task Driven Explainable Diagnosis of COVID-19 Using Chest X-ray Images." Pattern Recognition 122 (2022): 108243. Pergamon.
2. Surbhi Mittal, Vasantha Kumar Venugopal, Vikash Kumar Agarwal, Manu Malhotra, Jagneet Singh Chatha, Savinay Kapur, Ankur Gupta, Vikas Batra, Puspita Majumdar, and Aakarsh Malhotra. "A Novel Abnormality Annotation Database for COVID-19 Affected Frontal Lung X-rays." PloS One 17, no. 10 (2022): e0271931. Public Library of Science San Francisco, CA USA.
3. Surbhi Mittal, Puspita Majumdar, Mayank Vatsa, and Richa Singh. "On Bias and Fairness in Deep Learning-Based Facial Analysis." (2023). Elsevier.
4. Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, and Richa Singh. "Low Quality Deepfake Detection Via Unseen Artifacts." IEEE Transactions on Artificial Intelligence (2023). IEEE.
5. Surbhi Mittal et al. "On Responsible Machine Learning Datasets Emphasizing Fairness, Privacy and Regulatory Norms with Examples in Biometrics and Healthcare." Nature Machine Intelligence (2024): 1-14. Nature Publishing Group UK London.
Conferences and Workshops:
Puspita Majumdar, Surbhi Mittal, Richa Singh, and Mayank Vatsa. "Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models." In Proceedings of the IEEE/CVF International Conference on Computer Vision (2021): 3786-3795.
Muskan Dosi, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, and Richa Singh. "AECNet: Attentive EfficientNet For Crowd Counting." In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (2021): 1-8. IEEE.
Kartik Narayan*, Harsh Agarwal*, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, and Richa Singh. "DeSI: Deepfake Source Identifier for Social Media." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022): 2858-2867.
Richa Singh, Puspita Majumdar, Surbhi Mittal, and Mayank Vatsa. "Anatomizing Bias in Facial Analysis." In Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022): 12351-12358.
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, and Richa Singh. "DeePhy: On Deepfake Phylogeny." In 2022 IEEE International Joint Conference on Biometrics (IJCB) (2022): 1-10. IEEE.
Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, and Richa Singh. "Are Face Detection Models Biased?" In 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG) (2023): 1-7. IEEE.
Kartik Thakral, Surbhi Mittal, Mayank Vatsa, and Richa Singh. "PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning." In 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG) (2023): 1-6. IEEE.
Kartik Narayan*, Harsh Agarwal*, Kartik Thakral*, Surbhi Mittal*, Mayank Vatsa, and Richa Singh. "DF-Platter: Multi-Face Heterogeneous Deepfake Dataset." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023): 9739-9748.
Surbhi Mittal et al. "Navigating Text-to-Image Generative Bias Across Indic Languages." arXiv preprint arXiv:2408.00283 (2024). (accepted in ECCV 2024)