| 2026 | WACV | VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping. | Sanoojan Baliah, Yohan Abeysinghe, Rusiru Thushara, Khan Muhammad, Abhinav Dhall, Karthik Nandakumar, Muhammad Haris Khan |
| 2025 | CVPR | FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. | Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar |
| 2025 | CVPR | FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos. | Khaled Waleed Dawoud, Zaigham Zaheer, Mustaqeem Khan, Karthik Nandakumar, Abdulmotaleb Elsaddik, Muhammad Haris Khan |
| 2025 | CVPR | Towards Evaluating the Robustness of Visual State Space Models. | Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman Khan |
| 2025 | CVPR | STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models. | Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer, Vishal M. Patel, Karthik Nandakumar |
| 2025 | EMNLP | TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models. | Asif Hanif, Maha Tufail Agro, Fahad Shamshad, Karthik Nandakumar |
| 2025 | ICCV | A Framework for Double-Blind Federated Adaptation of Foundation Models. | Nurbek Tastan, Karthik Nandakumar |
| 2025 | ICML | Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks. | Nurbek Tastan, Samuel Horvth, Karthik Nandakumar |
| 2025 | MICCAI | Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. | Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub |
| 2025 | WACV | Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. | Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar |
| 2024 | BMVC | Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. | Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi, Asim Ukaye, Karthik Nandakumar |
| 2024 | CVPR | Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. | Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar |
| 2024 | CVPR | Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models. | Samar Fares, Karthik Nandakumar |
| 2024 | CVPR | Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. | Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar |
| 2024 | ECCV | Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. | Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar |
| 2024 | ICDM | Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. | Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2024 | ICIP | Multi-Attribute Vision Transformers are Efficient and Robust Learners. | Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar |
| 2024 | IJCAI | Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. | Nikita Kotelevskii, Samuel Horvth, Karthik Nandakumar, Martin Takc, Maxim Panov |
| 2024 | IJCAI | Redefining Contributions: Shapley-Driven Federated Learning. | Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvth, Karthik Nandakumar |
| 2024 | MICCAI | Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. | Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai, Muzammal Naseer, Karthik Nandakumar |
| 2024 | MICCAI | A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. | Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar |
| 2024 | MICCAI | BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. | Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer |
| 2024 | MICCAI | PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. | Noor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar |
| 2024 | MICCAI | SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. | Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub |
| 2024 | MICCAI | PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. | Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar |
| 2024 | MICCAI | SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. | Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub |
| 2024 | WACV | A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. | Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2024 | WACV | A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. | Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2023 | CVPR | CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. | Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar |
| 2023 | CVPR | Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. | Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar |
| 2023 | CVPR | Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. | Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar |
| 2023 | CVPR | CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. | Nurbek Tastan, Karthik Nandakumar |
| 2023 | ICASSP | Towards Building Text-to-Speech Systems for the Next Billion Users. | Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar |
| 2023 | ICASSP | Single-branch Network for Multimodal Training. | Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood |
| 2023 | ICCV | FLIP: Cross-domain Face Anti-spoofing with Language Guidance. | Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar |
| 2023 | MICCAI | FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. | Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar |
| 2023 | MICCAI | Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. | Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub |
| 2023 | WACV | A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features. | Rouqaiah Al-Refai, Karthik Nandakumar |
| 2022 | BMVC | On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. | Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar |
| 2022 | COMAD | PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. | Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar |
| 2022 | MICCAI | Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. | Naif Alkhunaizi, Dmitry Kamzolov, Martin Takc, Karthik Nandakumar |
| 2022 | MICCAI | Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. | Faris Almalik, Mohammad Yaqub, Karthik Nandakumar |
| 2021 | MICCAI | Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. | Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra |
| 2021 | MMSP | Optimizing Homomorphic Encryption based Secure Image Analytics. | Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar |
| 2020 | CVPR | Privacy Enhanced Decision Tree Inference. | Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculn |
| 2020 | FC | Decentralized Privacy-Preserving Netting Protocol on Blockchain for Payment Systems. | Shengjiao Cao, Yuan Yuan, Angelo De Caro, Karthik Nandakumar, Kaoutar Elkhiyaoui, Yanyan Hu |
| 2020 | ICPR | Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing. | Osama Ouda, Karthik Nandakumar, Arun Ross |
| 2019 | CVPR | Towards Deep Neural Network Training on Encrypted Data. | Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi |
| 2018 | IC2E | Double-Blind Consent-Driven Data Sharing on Blockchain. | Kumar Bhaskaran, Peter Ilfrich, Dain Liffman, Christian Vecchiola, Praveen Jayachandran, Apurva Kumar, Fabian Lim, Karthik Nandakumar, Zhengquan Qin, Venkatraman Ramakrishna, Ernie G. S. Teo, Chun Hui Suen |
| 2013 | ICMI | A multi-modal gesture recognition system using audio, video, and skeletal joint data. | Karthik Nandakumar, Kong-Wah Wan, Siu Man Alice Chan, Wen Zheng Terence Ng, Jian-Gang Wang, Wei-Yun Yau |
| 2008 | CVPR | On matching latent fingerprints. | Anil K. Jain, Jianjiang Feng, Abhishek Nagar, Karthik Nandakumar |
| 2008 | ICPR | Securing fingerprint template: Fuzzy vault with minutiae descriptors. | Abhishek Nagar, Karthik Nandakumar, Anil K. Jain |
| 2006 | ICPR | Quality-based Score Level Fusion in Multibiometric Systems. | Karthik Nandakumar, Yi Chen, Anil K. Jain, Sarat C. Dass |
| 2004 | ECCV | Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition. | Anil K. Jain, Karthik Nandakumar, Xiaoguang Lu, Unsang Park |