International Conferences and Journals

• Anoop Krishnan and Ajita Rattani "Demographic Bias Mitigation at Test-time using Uncertainty Estimation and Human-Machine Partnership   ", Machine Learning with Applications, Elsevier, 2024 (pdf)
• Parshuram N Aarotale and Ajita Rattani "Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition", IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024 (pdf)
• Aakash Varma Nadimpalli and Ajita Rattani "Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking", ACM Transactions on Digital Threats: Research and Practice, 2024 (pdf)
• Ayesha Manzoor and Ajita Rattani "FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features", IAPR International Conference on Pattern Recognition, Kolkata, India, 2024 (pdf)
• John Jakkam, Umarani Jayaraman, Subin Sahayam, and Ajita Rattani "CoDeiT: Contrastive Data-efficient Transformers for Deepfake Detection", IAPR International Conference on Pattern Recognition, Kolkata, India, 2024 (pdf)
• Vinaya Sree Katamneni and Ajita Rattani "Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization", IEEE International Joint Conference on Biometrics(IJCB), Buffalo, NY, 2024 (pdf)
• Sreeraj Ramachandran and Ajita Rattani "Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification", IEEE International Joint Conference on Biometrics(IJCB), Buffalo, NY, 2024 (pdf)
• Parshuram N Aarotale and Ajita Rattani "Sensor Fusion-based Deep Learning Models for Human Activity Classification", IEEE Computing in Cardiology(CiNC), Karlsruhe, Germany, 2024 (pdf)
• Sreeraj Ramachandran and Ajita Rattani "Leveraging Diffusion and Flow Matching Models for Demographic Bias Mitigation of Facial Attribute Classifiers", 2024 (pdf)

• Aakash Varma Nadimpalli, and Ajita Rattani, "ProActive DeepFake Detection using GAN-based Visible Watermarking", ACM Transactions on Multimedia Computing, Communications, and Applications, 2023 (pdf)
• Anoop Krishnan and Ajita Rattani, "A novel approach for bias mitigation of gender classification algorithms using consistency regularization", Image and Vision Computing, Elsevier, 2023 (pdf)
• Parshuram N Aarotale and Ajita Rattani, "Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals", IEEE Computing in Cardiology, Atlanta, Georgia, 2023. (pdf)
• Parshuram N Aarotale, Twayla Hill and Ajita Rattani, "PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction", 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Istanbul, Turkey, 2023. (pdf)
• Aakash Varma Nadimpalli and Ajita Rattani, "Facial Forgery-based Deepfake Detection using Fine-Grained Features", IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023. (pdf)
• Vinaya Sree Katamneni and Ajita Rattani, "MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection", IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023. (pdf)
• Vinaya Sree Katamneni, Aakash Varma Nadimpalli, and Ajita Rattani, "Demographic Fairness and Accountability of Audio and Video-based Unimodal and Bi-modal Deepfake Detectors", Face Recognition Across the Imaging Spectrum (FRAIS), Thirimachos Bourlai, Ed. Springer, 2023
• Sreeraj Ramachandran and Ajita Rattani, "An Examination of Fairness of Face and Periocular Recognition at NIR Spectrum", Face Recognition Across the Imaging Spectrum (FRAIS), Thirimachos Bourlai, Ed. Springer, 2023
• Zelalem S. Demissie, Gemechu Bedassa, Ajitta Rattani, Wubamlak Nigussie, Hailemichael Kebede, Yoseph Muhabaw, and Smitha Haridasan, "The significance of volcanic segments and rifts in faults characterization within the Amagmatic graben of the Afar Depression, Ethiopia", Journal of Structural Geology, Volume 174, Elsevier, 2023 (pdf)
• Rinku Datta Sharma, Ajita Rattani, and Dakshina Ranjan Kisku, "An LDOP approach for face identification under unconstrained scenarios", Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, pp. 1-49, 2023 (pdf)
• Ali Almadan and Ajita Rattani, "Benchmarking Neural Network Compression Techniques for Ocular-Based User Authentication on Smartphone", IEEE Access, vol. 11, pp. 36550-36565, 2023 (pdf)

• Anoop Krishnan, Brian Neas and Ajita Rattani, "Is Facial Recognition Biased at Near-Infrared Spectrum As Well?", 22nd Annual IEEE Symposium on Technologies for Homeland Security, October 2022. (pdf)
• Sreeraj Ramachandran and Ajita Rattani, "Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups", ICPR Workshop on Understanding and Mitigating Demographic Bias in Biometric Systems, International Conference on Pattern Recognition, Montreal, Québec, 2022 (pdf)
• Aakash Varma Nadimpalli and Ajita Rattani, "GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection", ICPR Workshop on MultiMedia FORensics in the WILD, International Conference on Pattern Recognition, Montreal, Québec, 2022. (pdf)
• Smitha Haridasan, Ajita Rattani, Zelalem Demissie and Atri Dutta, "Multispectral Deep Learning Models for Wildfire Detection", International Workshop on Data-driven Resilience Research 2022, July 6, 2022, Leipzig, Germany. (pdf)
• Saideshwar Kotha, Smitha Haridasan, Ajita Rattani, Aaron Bowen, Glyn Rimmington and Atri Dutta, "Multimodal Combination of Text and Image Tweets for Disaster Response Assessment", International Workshop on Data-driven Resilience Research 2022, July 6, 2022, Leipzig, Germany.(pdf)
• Shivang Agarwal, Ajita Rattani, and C. Ravindranath Chowdary, "A-iLearn: An adaptive incremental learning model for spoof fingerprint detection", Machine Learning with Applications, Volume 7, 2022, 100210, ISSN 2666-8270. (pdf)
• Aakash Varma Nadimpalli and Ajita Rattani, "On Improving Cross-dataset Generalization of Deepfake Detectors", IEEE Computer Vision and Pattern Recognition, Media and Forensics, New Orleans, Louisiana, 2022.(pdf)
• Fransiera Maldonado, Laila Cure, Aaron Bowen, Nikki Keene-Woods, Ajita Rattani, Twila Hill, Rhonda Lewis, Janet Twomey, "A Review of Food Accessibility Measures and Decision Support Models", Wichita State University, 2022 (pdf)
• Hera Siddiqui, Ajita Rattani, Karl Ricanek and Twyla Hill, "An Examination of Bias of Facial Analysis based BMI Prediction Models", IEEE Computer Vision and Pattern Recognition, Fair and Data-Efficient Computer Vision, New Orleans, Louisiana, 2022. (pdf)

• Hera Siddiqui, Ajita Rattani, L. Cure, Nikki Keene Woods, Rhonda K. Lewis, Janet Twomey,Betty Smith-Campbell, and Twyla J Hill, "A Survey on Machine and Deep Learning Models for Childhood and Adolescent Obesity", in IEEE Access, 2021.(pdf)
• Ali Almadan and Ajita Rattani, “Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices”, the 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021) in Orlando, Florida (pdf)
• Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran, and Ajita Rattani, “Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers”, the 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021) in Orlando, Florida (pdf)
• Anoop Krishnan, Ali Almadan, and Ajita Rattani, "Investigating Fairness of Ocular Biometrics AmongYoung, Middle-Aged, and Older Adults", The IEEE International Carnahan Conference on Security Technology (IEEE ICCST 2021) (pdf)
• Sreeraj Ramachandran, Aakash Varma Nadimpalli, and Ajita Rattani, "An Experimental Evaluation on Deepfake Detection using Deep Face Recognition", The IEEE International Carnahan Conference on Security Technology (IEEE ICCST 2021) (pdf)
• Shreyas Dharanesh and Ajita Rattani, "Post-COVID-19 Mask-Aware Face Recognition System", the 20th IEEE International Symposium on Technologies for Homeland Security (IEEE HST 2021) (pdf)
• Ali Almadan and Ajita Rattani, “Towards On-Device Face Recognition in Body-worn Cameras”, the 9th IEEE International Workshop on Biometrics and Forensics (IEEE IWBF 2021) (pdf)
• Mark Nguyen, Ajita Rattani and Reza derakhshani, "Subject independent evaluation of eyebrows as a stand‐alone biometric", IET Biometrics, 2021. (pdf)
• Shivang Agarwal, Ajita Rattani, C. Ravindranath Chowdary, "A comparative study on handcrafted features v/s deep features for open-set fingerprint liveness detection", Pattern Recognition Letters, Volume 147, Pages 34-40, 2021. (pdf)

• Ali Almadan, Anoop Krishnan, and Ajita Rattani, “Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset”, 25th International Conference on Pattern Recognition (ICPR) (pdf).
• Ali Almadan, Anoop Krishnan, and Ajita Rattani, “BWCFace: Open-set Face Recognition using Body-worn Camera”, 19th IEEE International Conference On Machine Learning And Applications (ICMLA) (pdf).
• Anoop Krishnan, Ali Almadan , and Ajita Rattani, “Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups”, 19th IEEE International Conference On Machine Learning And Applications (ICMLA) (pdf).
• Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, and Tanner Dean, "AI-based BMI Inference from Facial Images: An Application to Weight Monitoring", 19th IEEE International Conference On Machine Learning And Applications (ICMLA) (pdf).

• Babak Poorebrahim Gilkalaye, Ajita Rattani, Reza Derakhshani, "Euclidean-distance based fuzzy commitment scheme for biometric template security", 7th International Workshop on Biometrics and Forensics (IWBF) (pdf).
• HM Nguyen, Ajita Rattani, Reza Derakhshani, "Biometrics Fusion with Applications in Passenger Re-authentication for Automated Border Control Systems". IEEE Symposium on Technologiesfor Homeland Security (HST) (pdf).
• Leena Kondapi, Ajita Rattani, Reza Derakhshani, "Cross-illumination Evaluation of Hand Crafted and Deep Features for Fusion of Selfie Face and Ocular Biometrics". IEEE Symposium on Technologiesfor Homeland Security (HST) (pdf).
• Narsi Reddy, Ajita Rattani, Reza Derakhshani, "Robust Subject-invariant Feature Learning for Ocular Biometrics in Visible Spectrum", 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) (pdf).
• Zahid Akhtar, Kamran Siddique, Ajita Rattani, Syaheerah Lebai Lutfi, Tiago H Falk, "Why is multimedia quality of experience assessment a challenging problem?", IEEE Access, Vol. 7, 2019, Pages 117897-117915. (pdf)
• Ahmad Saeed Mohammad, Ajita Rattani, Reza Derakhshani, "Eyebrows and eyeglasses as soft biometrics using deep learning", IET Biometrics. (pdf)

• Narsi Reddy, Ajita Rattani, Reza Derakhshani, "Multi-biometric convolutional neural networks for mobile user authentication", IEEE International Symposium on Technologies for Homeland Security (HST) (pdf).
• Narsi Reddy, Ajita Rattani, Reza Derakhshani, "Ocularnet: deep patch-based ocular biometric recognition", IEEE International Symposium on Technologies for Homeland Security (HST) (pdf).
• Ahmad Saeed Mohammad, Ajita Rattani, Reza Derakhshani, "Short-Term User Authentication Using Eyebrows Biometric For Smartphone Devices", IEEE Computer Science and Electronic Engineering Conference (CEEC)(pdf).
• Narsi Reddy, Ajita Rattani, Reza Derakhshani, "Comparison of Deep Learning Models for Biometric-based Mobile User Authentication", IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS) (pdf).
• Ahmad Saeed Mohammad, Ajita Rattani, Reza Derakhshan, "Comparison of squeezed convolutional neural network models for eyeglasses detection in mobile environment", Journal of Computing Sciences in Colleges, Consortium for Computing Sciences in Colleges. (pdf)
• Ajita Rattani, Reza Derakhshani, "Convolutional neural networks for gender prediction from smartphone-based ocular images", IET Biometrics. (pdf)
• Ajita Rattani, Reza Derakhshani, "A survey of mobile face biometrics", Computers & Electrical Engineering. (pdf)

• Ajita Rattani and Reza Derakhshani, "Online Co-training in Mobile Ocular Biometric Recognition", IEEE Symposium on Technologies for Homeland Security, 1-6, 2017.
• Ajita Rattani, Narsi Reddy and Reza Derakhshani, "Gender Prediction from Mobile Ocular Images: A Feasibility Study", IEEE Symposium on Technologies for Homeland Security,1-6, 2017.
• Ajita Rattani and Reza Derakhshani, "Ocular Biometrics in the Visible Spectrum: A Survey", Image and Vision Computing, Elsevier, 59, 1- 16, 2017.

• Ajita Rattani, Reza Derakhshani, Sashi K. Saripalle, and Vikas Gottemukkula, "ICIP 2016 Competition on Mobile Ocular Biometric Recognition", IEEE Conference on Image Processing, 320-324, 2016.
• Yaohui Ding, Ajita Rattani and Arun Ross, "Bayesian Belief Models for Integrating Match Scores with Liveness and Quality Measures in a Fingerprint Verification System", IEEE InternationalConference on Biometrics, 1-8, 2016.
• Narsi Reddy, Ajita Rattani and Reza Derakhshani, "A Robust Scheme for Iris Segmentation in Mobile Environment", IEEE Symposium on Technologies for Homeland Security, 1-6, 2016.

• Ajita Rattani, Zahid Akhtar and Gianluca Foresti, "A Preliminary Study on Identifying Fabrication Material From Fake Fingerprint Images", IEEE Symposium Series on Computational Intelligence, 362-366, 2016.
• Ajita Rattani, Walter J Scheirer, Arun Ross, "Open set fingerprint spoof detection across novel fabrication materials", IEEE Transactions on Information Forensics and Security.
• Ajita Rattani, Walter J. Scheirer and Arun Ross, "Open Set Fingerprint Spoof Detection Across Novel Fabrication Materials", IEEE Transactions on Information Forensics and Security, 10(11), 2447-2460, 2015

• Ajita Rattani and Arun Ross, "Automatic Adaptation of Fingerprint Liveness Detector to New Spoof Materials", Proc. of International Joint Conference on Biometrics (IJCB), (Clearwater, USA), September/October 2014. (Best Poster Award)
• Ajita Rattani and Arun Ross, "Minimizing the Impact of Spoof Fabrication Material on Fingerprint Liveness Detector", Proc. of 21st IEEE International Conference on Image Processing (ICIP), Paris, France, 2014

• Ajita Rattani, Norman Poh and Arun Ross, "A Bayesian Approach for Modeling Sensor Influence on Quality, Liveness and Match Score Values in Fingerprint Verification," Proc. of IEEE International Workshop on Information Forensics and Security (WIFS), (Guangzhou, China), November 2013
• Ajita Rattani and Norman Poh, "Biometric System Design Under Zero and Non-zero-effort Attacks", International Conference on Biometrics (ICB), Madrid, Spain, 2013.
• Zahid Akhtar, Ajita Rattani, Abdenour Hadid and Massimo Tistarelli, "Face Recognition under Ageing Effect: A Comparative Analysis", 17th Int’l Conference on Image Analysis and Processing (ICIAP), Naples, Italy, 2013.
• A. Rattani, G. L. Marcialis, F. Roli, "Biometric System Adaptation by Self-update and Graph-based techniques", Journal of Visual Languages and Computing, Elsevier,Vol. 24, Issue 1, pp 1–9, February 2013

• Ajita Rattani, Gian Luca Marcialis, Eric Granger, Fabio Roli, "A Dual-staged Classification-Selection Approach for Automated Update of Biometric Templates", International Conference on Pattern Recognition (ICPR), Japan, 2012.
• Ajita Rattani, Norman Poh, Arun Ross, "Analysis of User-specific Score Characteristics for Spoof Biometric Attacks", Proc. of IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition (CVPR) Conference, (Providence, USA), pp.124-129, June 2012.
• Norman Poh, Ajita Rattani and F. Roli, "Critical Analysis of Adaptive Biometric Systems", IET Biometrics, Vol. 1, Issue 4, pp. 179 – 187, 2012.
• Ajita Rattani, G. L. Marcialis, F. Roli, "Evaluation of Adaptive Biometric systems: Dataset, Protocol and Tools", International Journal of Biometrics, 2012.
• D. R. Kisku, Ajita Rattani, P. Gupta, J. K. Sing, C. J. Hwang, "Human Identity Verification using Multispectral Palmprint Fusion", Journal of signal and Information Processing, Scientific Research, Vol. 3, No. 2, pp. 263-273, 2012

• H. Siddiqui, A. Rattani, L. Cure, N. K. Woods, R. Lewis, J. Twomey,B. Smith-Campbell, and T. Hill, "Towards on-device weight monitoring from selfie face images using smartphones", Integrating Artificial Intelligence and IoT for Advanced Health Informatics, Springer 2022.
• (Book Chapter) Hera Siddiqui, Ajita Rattani, Laila Cure, Nikki Keene Woods, Rhonda Lewis, JanetTwomey, Betty Smith-Campbell, and Twyla Hill, "Towards On-device Weight Monitoring fromSelfie Face Images Using Smartphones", “Integrating Artificial Intelligence and IoT for advanced health informatics” in Book “Internet of Things: Technology, Computations and Computing”, Springer, 2021.
• Ajita Rattani, Reza Derakhshani, A. Ross (Editors), "Selfie Biometrics", Springer Publishers, 2019. ISBN: 978-3-030-26971-5.
• Ajita Rattani, F. Roli, E. Granger (Editors), "Adaptive Biometric Systems Recent Advances and Challenges", Springer Publiushers, 2015. ISBN:978-3-319-24865-3