Karthik Nandakumar

178 papers A* 16A 3B 9C 2Misc 2Journal 91Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual Few-shot Adaptation for Synthetic Fingerprint Detection. CoRR Joseph Geo Benjamin, Anil K. Jain, Karthik Nandakumar
2026	J	`jnl`	GenMix: Effective data augmentation with generative diffusion model image editing. Expert Syst. Appl. Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar, Naveed Akhtar
2026	J	`jnl`	MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models. CoRR Nurbek Tastan, Stefanos Laskaridis, Karthik Nandakumar, Samuel Horvath
2026	J	`jnl`	RAVEN: Erasing Invisible Watermarks via Novel View Synthesis. CoRR Fahad Shamshad, Nils Lukas, Karthik Nandakumar
2026	J	`jnl`	Towards Calibrating Prompt Tuning of Vision-Language Models. CoRR Ashshak Sharifdeen, Fahad Shamshad, Muhammad Akhtar Munir, Abhishek Basu, Mohamed Insaf Ismithdeen, Jeyapriyan Jeyamohan, Chathurika Sewwandi Silva, Karthik Nandakumar, Muhammad Haris Khan
2026	J	`jnl`	VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping. CoRR Sanoojan Baliah, Yohan Abeysinghe, Rusiru Thushara, Khan Muhammad, Abhinav Dhall, Karthik Nandakumar, Muhammad Haris Khan
2025	J	`jnl`	A Framework for Double-Blind Federated Adaptation of Foundation Models. CoRR Nurbek Tastan, Karthik Nandakumar
2025	A*	`conf`	Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks. ICML Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
2025	J	`jnl`	Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks. CoRR Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
2025	J	`jnl`	CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning. CoRR Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
2025	J	`jnl`	CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning. Trans. Mach. Learn. Res. Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
2025	J	`jnl`	Calibration-Aware Prompt Learning for Medical Vision-Language Models. CoRR Abhishek Basu, Fahad Shamshad, Ashshak Sharifdeen, Karthik Nandakumar, Muhammad Haris Khan
2025	J	`jnl`	Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. Int. J. Multim. Inf. Retr. Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Ignazio Gallo, Markus Schedl
2025	J	`jnl`	Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. CoRR Numan Saeed, Shahad Hardan, Muhammad Ridzuan, Nada Saadi, Karthik Nandakumar, Mohammad Yaqub
2025	—	`conf`	FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation. MLHC Asim Ukaye, Numan Saeed, Karthik Nandakumar
2025	J	`jnl`	FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation. CoRR Asim Ukaye, Numan Saeed, Karthik Nandakumar
2025	B	`conf`	FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing. IJCB Mohammed Talha Alam, Fahad Shamshad, Fakhri Karray, Karthik Nandakumar
2025	J	`jnl`	FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing. CoRR Mohammed Talha Alam, Fahad Shamshad, Fakhri Karray, Karthik Nandakumar
2025	—	`conf`	FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning. CPAL Nurbek Tastan, Samuel Horváth, Martin Takác, Karthik Nandakumar
2025	—	`conf`	FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. CVPR Workshops Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar
2025	J	`jnl`	First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge. CoRR Fahad Shamshad, Tameem Bakr, Yahia Shaaban, Noor Hussein, Karthik Nandakumar, Nils Lukas
2025	—	`conf`	Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. MICCAI (3) Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub
2025	J	`jnl`	Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. CoRR Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub
2025	—	`conf`	FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos. CVPR Workshops Khaled Waleed Dawoud, Zaigham Zaheer, Mustaqeem Khan, Karthik Nandakumar, Abdulmotaleb Elsaddik, Muhammad Haris Khan
2025	J	`jnl`	LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning. CoRR Nurbek Tastan, Stefanos Laskaridis, Martin Takác, Karthik Nandakumar, Samuel Horváth
2025	J	`jnl`	MOLM: Mixture of LoRA Markers. CoRR Samar Fares, Nurbek Tastan, Noor Hussein, Karthik Nandakumar
2025	J	`jnl`	Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking. CoRR Toluwani Aremu, Noor Hussein, Munachiso Nwadike, Samuele Poppi, Jie Zhang, Karthik Nandakumar, Neil Gong, Nils Lukas
2025	—	`conf`	Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models. MIUA (1) Fahad Shamshad, Noor Hussein, Karthik Nandakumar
2025	J	`jnl`	Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models. CoRR Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Khan, Salman Khan
2025	J	`jnl`	RobustA: Robust Anomaly Detection in Multimodal Data. CoRR Salem AlMarri, Muhammad Irzam Liaqat, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Markus Schedl
2025	J	`jnl`	SPDMark: Selective Parameter Displacement for Robust Video Watermarking. CoRR Samar Fares, Nurbek Tastan, Karthik Nandakumar
2025	J	`jnl`	SPQR: A Standardized Benchmark for Modern Safety Alignment Methods in Text-to-Image Diffusion Models. CoRR Mohammed Talha Alam, Nada Saadi, Fahad Shamshad, Nils Lukas, Karthik Nandakumar, Fahkri Karray, Samuele Poppi
2025	A*	`conf`	STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models. CVPR Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer, Vishal M. Patel, Karthik Nandakumar
2025	J	`jnl`	Stochastic Self-Organization in Multi-Agent Systems. CoRR Nurbek Tastan, Samuel Horvath, Karthik Nandakumar
2025	A	`conf`	Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. WACV Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar
2025	—	`conf`	Towards Evaluating the Robustness of Visual State Space Models. CVPR Workshops Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman Khan
2025	A*	`conf`	TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models. EMNLP Asif Hanif, Maha Tufail Agro, Fahad Shamshad, Karthik Nandakumar
2024	A	`conf`	A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. WACV Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	—	`conf`	A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
2024	—	`conf`	A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. WACV (Workshops) Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	A*	`conf`	A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. ACM Multimedia Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl
2024	A*	`conf`	Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models. CVPR Samar Fares, Karthik Nandakumar
2024	—	`conf`	BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. MICCAI (12) Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer
2024	J	`jnl`	BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning. CoRR Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer
2024	J	`jnl`	Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
2024	A*	`conf`	Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CVPR Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
2024	J	`jnl`	Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CoRR Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
2024	J	`jnl`	DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models. CoRR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
2024	A*	`conf`	Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. CVPR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
2024	A*	`conf`	Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. IJCAI Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov
2024	J	`jnl`	Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf
2024	A*	`conf`	Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. ICDM Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar
2024	J	`jnl`	FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning. CoRR Nurbek Tastan, Samuel Horváth, Martin Takác, Karthik Nandakumar
2024	J	`jnl`	FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. CoRR Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing. CoRR Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar, Naveed Akhtar
2024	—	`conf`	Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. BMVC Workshops Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi, Asim Ukaye, Karthik Nandakumar
2024	J	`jnl`	Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. CoRR Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi, Asim Ukaye, Karthik Nandakumar
2024	J	`jnl`	Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
2024	—	`conf`	Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. ECCV Workshops (22) Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2024	J	`jnl`	Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. CoRR Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2024	J	`jnl`	MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev
2024	J	`jnl`	Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl
2024	B	`conf`	Multi-Attribute Vision Transformers are Efficient and Robust Learners. ICIP Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar
2024	J	`jnl`	Multi-Attribute Vision Transformers are Efficient and Robust Learners. CoRR Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar
2024	—	`conf`	PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. MICCAI (12) Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
2024	J	`jnl`	PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
2024	—	`conf`	Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai, Muzammal Naseer, Karthik Nandakumar
2024	J	`jnl`	Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. CoRR Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai, Muzammal Naseer, Karthik Nandakumar
2024	—	`conf`	PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. MICCAI (12) Noor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2024	J	`jnl`	PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. CoRR Noor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2024	A*	`conf`	Redefining Contributions: Shapley-Driven Federated Learning. IJCAI Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar
2024	J	`jnl`	Redefining Contributions: Shapley-Driven Federated Learning. CoRR Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar
2024	J	`jnl`	STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. CoRR Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2024	—	`conf`	SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub
2024	J	`jnl`	SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub
2024	—	`conf`	SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
2024	J	`jnl`	SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
2024	J	`jnl`	Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. CoRR Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar
2024	J	`jnl`	Towards Evaluating the Robustness of Visual State Space Models. CoRR Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan
2023	J	`jnl`	A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. CoRR Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
2023	—	`conf`	A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features. WACV (Workshops) Rouqaiah Al-Refai, Karthik Nandakumar
2023	A*	`conf`	Byzantine-Tolerant Methods for Distributed Variational Inequalities. NeurIPS Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
2023	J	`jnl`	Byzantine-Tolerant Methods for Distributed Variational Inequalities. CoRR Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
2023	A*	`conf`	CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. CVPR Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2023	J	`jnl`	CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search. CoRR Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
2023	A*	`conf`	CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. CVPR Nurbek Tastan, Karthik Nandakumar
2023	A*	`conf`	DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. ACM Multimedia Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Soo-Hyung Kim, Shah Nawaz, Karthik Nandakumar, Muhammad Zaigham Zaheer
2023	J	`jnl`	DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. CoRR Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Soo-Hyung Kim
2023	J	`jnl`	Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. CoRR Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov
2023	A*	`conf`	Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CVPR Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
2023	J	`jnl`	Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CoRR Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
2023	A*	`conf`	FLIP: Cross-domain Face Anti-spoofing with Language Guidance. ICCV Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
2023	J	`jnl`	FLIP: Cross-domain Face Anti-spoofing with Language Guidance. CoRR Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
2023	—	`conf`	FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
2023	J	`jnl`	FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. CoRR Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
2023	B	`conf`	FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. IJCB Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
2023	J	`jnl`	FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. CoRR Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
2023	—	`conf`	Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
2023	—	`conf`	Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar
2023	B	`conf`	On Self-Supervised Learning and Prompt Tuning of Vision Transformers for Cross-sensor Fingerprint Presentation Attack Detection. IJCB Maryam Nadeem, Karthik Nandakumar
2023	—	`conf`	On the Effects of Filtering Methods on Adversarial Timeseries Data. GeoPrivacy@SIGSPATIAL Mubarak G. Abdu-Aguye, Karthik Nandakumar
2023	—	`conf`	PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. SaTML Toluwani Aremu, Karthik Nandakumar
2023	—	`conf`	Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. EUSIPCO Mubarak G. Abdu-Aguye, Karthik Nandakumar
2023	Misc	`conf`	Single-branch Network for Multimodal Training. ICASSP Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
2023	J	`jnl`	Single-branch Network for Multimodal Training. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
2023	Misc	`conf`	Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
2022	J	`jnl`	Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. CoRR Gokul Karthik Kumar, Karthik Nandakumar
2022	J	`jnl`	How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2022	J	`jnl`	Learning an Ensemble of Deep Fingerprint Representations. CoRR Akash Godbole, Karthik Nandakumar, Anil K. Jain
2022	J	`jnl`	MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages. CoRR Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly, Karthik Nandakumar
2022	B	`conf`	On Demographic Bias in Fingerprint Recognition. IJCB Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain
2022	J	`jnl`	On Demographic Bias in Fingerprint Recognition. CoRR Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain
2022	A	`conf`	On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
2022	—	`conf`	PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. COMAD/CODS Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
2022	—	`conf`	Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
2022	J	`jnl`	Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
2022	J	`jnl`	SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
2022	—	`conf`	Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
2022	J	`jnl`	Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
2022	J	`jnl`	Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
2021	—	`conf`	Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
2021	—	`conf`	CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. AIMLSystems Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
2021	J	`jnl`	Discovering Spatial Relationships by Transformers for Domain Generalization. CoRR Cuicui Kang, Karthik Nandakumar
2021	J	`jnl`	Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization. CoRR Cuicui Kang, Karthik Nandakumar
2021	J	`jnl`	Efficient CNN Building Blocks for Encrypted Data. CoRR Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
2021	J	`jnl`	Efficient Encrypted Inference on Ensembles of Decision Trees. CoRR Kanthi K. Sarpatwar, Karthik Nandakumar, Nalini K. Ratha, James T. Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculín
2021	C	`conf`	Optimizing Homomorphic Encryption based Secure Image Analytics. MMSP Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
2020	J	`jnl`	Blockchain: From Technology to Marketplaces. Computer Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Alex Pentland, Maurice Herlihy
2020	B	`conf`	Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing. ICPR Osama Ouda, Karthik Nandakumar, Arun Ross
2020	—	`conf`	Decentralized Privacy-Preserving Netting Protocol on Blockchain for Payment Systems. Financial Cryptography Shengjiao Cao, Yuan Yuan, Angelo De Caro, Karthik Nandakumar, Kaoutar Elkhiyaoui, Yanyan Hu
2020	J	`jnl`	How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2020	—	`conf`	Privacy Enhanced Decision Tree Inference. CVPR Workshops Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín
2020	J	`jnl`	Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
2019	J	`jnl`	High-frequency crowd insights for public safety and congestion control. CoRR Karthik Nandakumar, Sebastien Blandin, Laura Wynter
2019	C	`conf`	Proving Multimedia Integrity using Sanitizable Signatures Recorded on Blockchain. IH&MMSec Karthik Nandakumar, Nalini K. Ratha, Sharathchandra Pankanti
2019	—	`conf`	Towards Deep Neural Network Training on Encrypted Data. CVPR Workshops Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi
2019	J	`jnl`	Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. CoRR Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin
2018	B	`conf`	Double-Blind Consent-Driven Data Sharing on Blockchain. IC2E 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
2018	J	`jnl`	PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. IEEE Trans. Ind. Informatics Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami
2017	—	`conf`	Secure one-time biometrie tokens for non-repudiable multi-party transactions. WIFS Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shelby Darnell
2016	J	`jnl`	50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recognit. Lett. Anil K. Jain, Karthik Nandakumar, Arun Ross
2015	—	`ch.`	Biometric System Design, Overview. Encyclopedia of Biometrics Anil K. Jain, Karthik Nandakumar
2015	J	`jnl`	Biometric Template Protection: Bridging the performance gap between theory and practice. IEEE Signal Process. Mag. Karthik Nandakumar, Anil K. Jain
2015	—	`ch.`	Fusion, Score-Level. Encyclopedia of Biometrics Arun Ross, Karthik Nandakumar
2015	J	`jnl`	Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning. IEEE Trans. Image Process. Seyedehsamaneh Shojaeilangari, Wei-Yun Yau, Karthik Nandakumar, Jun Li, Eam Khwang Teoh
2015	—	`ch.`	Security Issues, System Design. Encyclopedia of Biometrics Karthik Nandakumar
2015	—	`ch.`	Soft Biometrics. Encyclopedia of Biometrics Karthik Nandakumar, Anil K. Jain
2013	B	`conf`	A multi-modal gesture recognition system using audio, video, and skeletal joint data. ICMI Karthik Nandakumar, Kong-Wah Wan, Siu Man Alice Chan, Wen Zheng Terence Ng, Jian-Gang Wang, Wei-Yun Yau
2013	—	`conf`	BioSAKE: Biometrics-based secure authentication and key exchange. ICB Karthik Nandakumar
2013	—	`conf`	Estimating in-plane rotation angle for face images from multi-poses. CIBIM Seyed Mohammad Hassan Anvar, Wei-Yun Yau, Karthik Nandakumar, Eam Khwang Teoh
2013	—	`ch.`	Fingerprint Template Protection: From Theory to Practice. Security and Privacy in Biometrics Anil K. Jain, Karthik Nandakumar, Abhishek Nagar
2012	J	`jnl`	Biometric Authentication: System Security and User Privacy. Computer Anil K. Jain, Karthik Nandakumar
2012	—	`conf`	Fingerprint matching based on minutiae phase spectrum. ICB Karthik Nandakumar
2012	J	`jnl`	Multibiometric Cryptosystems Based on Feature-Level Fusion. IEEE Trans. Inf. Forensics Secur. Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
2010	—	`conf`	A fingerprint cryptosystem based on minutiae phase spectrum. WIFS Karthik Nandakumar
2010	J	`jnl`	A hybrid biometric cryptosystem for securing fingerprint minutiae templates. Pattern Recognit. Lett. Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
2010	—	`conf`	Biometric template transformation: a security analysis. Media Forensics and Security Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
2010	J	`jnl`	Fingerprint Matching. Computer Anil K. Jain, Jianjiang Feng, Karthik Nandakumar
2009	—	`conf`	Fusion in Multibiometric Identification Systems: What about the Missing Data?. ICB Karthik Nandakumar, Anil K. Jain, Arun Ross
2009	—	`ch.`	Fusion, Score-Level. Encyclopedia of Biometrics Arun Ross, Karthik Nandakumar
2009	—	`ch.`	Security Issues, System Design. Encyclopedia of Biometrics Karthik Nandakumar
2009	—	`ch.`	Soft Biometrics. Encyclopedia of Biometrics Karthik Nandakumar, Anil K. Jain
2008	J	`jnl`	Biometric Template Security. EURASIP J. Adv. Signal Process. Anil K. Jain, Karthik Nandakumar, Abhishek Nagar
2008	J	`jnl`	Likelihood Ratio-Based Biometric Score Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K. Jain
2008	—	`conf`	On matching latent fingerprints. CVPR Workshops Anil K. Jain, Jianjiang Feng, Abhishek Nagar, Karthik Nandakumar
2008	B	`conf`	Securing fingerprint template: Fuzzy vault with minutiae descriptors. ICPR Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
2007	J	`jnl`	Fingerprint-Based Fuzzy Vault: Implementation and Performance. IEEE Trans. Inf. Forensics Secur. Karthik Nandakumar, Anil K. Jain, Sharath Pankanti
2007	—	`conf`	Hardening Fingerprint Fuzzy Vault Using Password. ICB Karthik Nandakumar, Abhishek Nagar, Anil K. Jain
2006	—	`book`	Handbook of Multibiometrics. Arun Ross, Karthik Nandakumar, Anil K. Jain
2006	—	`conf`	Quality-based Score Level Fusion in Multibiometric Systems. ICPR (4) Karthik Nandakumar, Yi Chen, Anil K. Jain, Sarat C. Dass
2005	—	`conf`	A Principled Approach to Score Level Fusion in Multimodal Biometric Systems. AVBPA Sarat C. Dass, Karthik Nandakumar, Anil K. Jain
2005	J	`jnl`	Score normalization in multimodal biometric systems. Pattern Recognit. Anil K. Jain, Karthik Nandakumar, Arun Ross
2004	—	`conf`	Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition. ECCV Workshop BioAW Anil K. Jain, Karthik Nandakumar, Xiaoguang Lu, Unsang Park
2004	—	`conf`	Local Correlation-based Fingerprint Matching. ICVGIP Karthik Nandakumar, Anil K. Jain
2004	—	`conf`	Soft Biometric Traits for Personal Recognition Systems. ICBA Anil K. Jain, Sarat C. Dass, Karthik Nandakumar