Publications

  • S. Banerjee, S. P. Mullangi, S. Wagle, C. Hegde and N. Memon, "Mitigating the Impact of Attribute Editing on Face Recognition," International Joint Conference on Biometrics (IJCB), Buffalo, USA, 2024. URL: link to paper [To appear]

  • S. Banerjee, G. Mittal, A. Joshi, S. P. Mullangi, C. Hegde and N. Memon, "Identity-Aware Facial Age Editing Using Latent Diffusion," IEEE Transactions on Biometrics, Behavior and Identity Science (T-BIOM), Early Access 2024.

  • S. Banerjee, A. Jain, Z. Jiang, N. Memon, J. Togelius and A. Ross, "Alpha-Wolves and Alpha-Mammals: Exploring Dictionary Attacks on Iris Recognition Systems," IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACV), Hawaii, USA, 2024. [To appear]

  • S. Banerjee, G. Mittal, A. Joshi, C. Hegde and N. Memon, "Identity-Preserving Aging of Face Images via Latent Diffusion Models," International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia, 2023. URL: link to paper

  • N. Shukla and S. Banerjee, "Generating Adversarial Attacks in the Latent Space," Generative Models for Computer Vision Workshop in CVPR (GCV), Vancouver, Canada, 2023. URL: link to paper

  • S. Banerjee, P. Jaiswal and A. Ross, "Facial De-morphing: Extracting Component Faces from a Single Morph," International Joint Conference on Biometrics (IJCB), Abu Dhabi, UAE, 2022. URL: link to paper

  • S. Banerjee, A. Aggarwal and A. Ross, "Can GAN-induced Attribute Manipulations Impact Face Recognition?," Workshop in Undertsanding and Mitigating Demographic Bias in Biometric Systems in International Conference in Pattern Recognition (ICPRW), Montreal, Canada [Virtual], 2022. URL: link to paper

  • A. Ross, S. Banerjee and A. Chowdhury, "Deducing Health Cues From Biometric Data," Computer Vision and Image Understanding (CVIU), [To appear] 2022.

  • S. Banerjee and A. Ross, "Conditional Identity Disentanglement for Differential Face Morph Detection," International Joint Conference on Biometrics (IJCB), Shenzhen, China [Virtual], 2021. URL: link to paper

  • S. Banerjee, T. Swearingen, R. Shillair, J. Bauer, T. Holt and A. Ross, "Using Machine Learning to Examine Cyberattack Motivations on Web Defacement Data," Social Science Computer Review (SSCR), 2021. URL: link to paper

  • A. Ross, S. Banerjee and A. Chowdhury, "Security in Smart Cities: A Brief Review of Digital Forensic Schemes for Biometric Data," Pattern Recognition Letters (PRL), Vol. 138, pp. 346-354, 2020. URL: link to paper

  • S. Banerjee and A. Ross, "One Shot Representational Learning for Joint Biometric and Device Authentication," 25th International Conference on Pattern Recognition (ICPR), Milan, Italy [Virtual], 2020. URL: link to paper

  • S. Banerjee and A. Ross, "Face Phylogeny Tree Using Basis Functions," IEEE Transactions on Biometrics, Behavior and Identity Science (T-BIOM), Vol.2, Issue 4, pp. 310-325, 2020. URL: link to paper

  • S. Banerjee, T. Swearingen, R. Shillair, J. Bauer, T. Holt and A. Ross, "Analysis of Cyberattack Patterns Across Longitudinal Data", 2nd Annual conference on Human Factor in Cybercrime, Amsterdam, Netherlands, 2019.

  • S. Banerjee and A. Ross, "Face Phylogeny Tree: Deducing Relationships Between Near-Duplicate Face Images Using Legendre Polynomials and Radial Basis Functions," 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Florida, USA, 2019. (Best Paper and Best Poster Award) URL: link to paper

  • S. Banerjee and A. Ross, "Smartphone Camera De-identification while Preserving Biometric Utility," 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Florida, USA, 2019. URL: link to paper

  • A. Ross, S. Banerjee, C. Chen, A. Chowdhury, V. Mirjalili, R. Sharma, T. Swearingen, and S. Yadav, "Some Research Problems in Biometrics: The Future Beckons", 12th IAPR International Conference on Biometrics (ICB), Crete, Greece, 2019. URL: link to paper

  • S. Banerjee, V. Mirjalili and A. Ross, "Spoofing PRNU patterns of Iris Sensors while Preserving Iris Recognition," 5th International Conference on Identity, Security and Behavior Analysis (ISBA), Hyderabad, India, 2019. (Best Paper Award) URL: link to paper

  • S. Banerjee and A. Ross, "Impact of Photometric Transformations on PRNU Estimation Schemes: A Case Study Using Near Infrared Ocular Images," 6th International Workshop on Biometrics and Forensics (IWBF), Sassari, Italy, 2018. (Best Student Paper Award) URL: link to paper

  • S. Banerjee and A. Ross, "Computing an Image Phylogeny Tree from Photometrically Modified Iris Images," IEEE International Joint Conference on Biometrics (IJCB), Denver, USA, 2017, pp. 618-626.doi: 10.1109/BTAS.2017.8272749. URL: link to paper

  • S. Banerjee and A. Ross, "From Image to Sensor: Comparative Evaluation of Multiple PRNU Estimation Schemes for Identifying Sensors from NIR Iris Images," 5th International Workshop on Biometrics and Forensics (IWBF), Coventry, UK, 2017, pp. 1-6.doi:10.1109/IWBF.2017.7935081. URL: link to paper

  • V. N. Gangapure, S. Banerjee and A. S. Chowdhury, “Steerable Local Frequency Based Multispectral Multifocus Image Fusion”, Information Fusion, Volume 23, 2015 Pages 99-115, ISSN 1566-2535 URL: link to paper

  • S. Banerjee, V. N. Gangapure and A. S. Chowdhury, “Multispectral Multifocus Image Fusion with Guided Steerable Frequency and Improved Saliency”, In Proceedings of the Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP '14). ACM, New York, NY, USA, Article 9, 8 pages. URL: link to paper