Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition. - Anil K. Jain 001; Karthik Nandakumar; Xiaoguang Lu; Unsang Park (ECCV Workshop BioAW, 2004)

Soft Biometric Traits for Personal Recognition Systems. - Anil K. Jain 001; Sarat C. Dass; Karthik Nandakumar (ICBA, 2004)

Local Correlation-based Fingerprint Matching. - Karthik Nandakumar; Anil K. Jain 001 (ICVGIP, 2004)

A Principled Approach to Score Level Fusion in Multimodal Biometric Systems. - Sarat C. Dass; Karthik Nandakumar; Anil K. Jain 001 (AVBPA, 2005)

Score normalization in multimodal biometric systems. - Anil K. Jain 001; Karthik Nandakumar; Arun Ross (Pattern Recognit., 2005)

Handbook of Multibiometrics. - Arun Ross; Karthik Nandakumar; Anil K. Jain 001 (Springer, 2006)

Quality-based Score Level Fusion in Multibiometric Systems. - Karthik Nandakumar; Yi Chen 015; Anil K. Jain 001; Sarat C. Dass (ICPR (4), 2006)

Hardening Fingerprint Fuzzy Vault Using Password. - Karthik Nandakumar; Abhishek Nagar; Anil K. Jain 001 (ICB, 2007)

Fingerprint-Based Fuzzy Vault: Implementation and Performance. - Karthik Nandakumar; Anil K. Jain 001; Sharath Pankanti (IEEE Trans. Inf. Forensics Secur., 2007)

On matching latent fingerprints. - Anil K. Jain 001; Jianjiang Feng; Abhishek Nagar; Karthik Nandakumar (CVPR Workshops, 2008)

Securing fingerprint template: Fuzzy vault with minutiae descriptors. - Abhishek Nagar; Karthik Nandakumar; Anil K. Jain 001 (ICPR, 2008)

Biometric Template Security. - Anil K. Jain 001; Karthik Nandakumar; Abhishek Nagar (EURASIP J. Adv. Signal Process., 2008)

Likelihood Ratio-Based Biometric Score Fusion. - Karthik Nandakumar; Yi Chen 015; Sarat C. Dass; Anil K. Jain 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Fusion in Multibiometric Identification Systems: What about the Missing Data?. - Karthik Nandakumar; Anil K. Jain 001; Arun Ross (ICB, 2009)

Security Issues, System Design. - Karthik Nandakumar (Encyclopedia of Biometrics, 2009)

Soft Biometrics. - Karthik Nandakumar; Anil K. Jain 001 (Encyclopedia of Biometrics, 2009)

Fusion, Score-Level. - Arun Ross; Karthik Nandakumar (Encyclopedia of Biometrics, 2009)

Biometric template transformation: a security analysis. - Abhishek Nagar; Karthik Nandakumar; Anil K. Jain 001 (Media Forensics and Security, 2010)

A fingerprint cryptosystem based on minutiae phase spectrum. - Karthik Nandakumar (WIFS, 2010)

Fingerprint Matching. - Anil K. Jain 001; Jianjiang Feng; Karthik Nandakumar (Computer, 2010)

A hybrid biometric cryptosystem for securing fingerprint minutiae templates. - Abhishek Nagar; Karthik Nandakumar; Anil K. Jain 001 (Pattern Recognit. Lett., 2010)

Fingerprint matching based on minutiae phase spectrum. - Karthik Nandakumar (ICB, 2012)

Biometric Authentication: System Security and User Privacy. - Anil K. Jain 001; Karthik Nandakumar (Computer, 2012)

Multibiometric Cryptosystems Based on Feature-Level Fusion. - Abhishek Nagar; Karthik Nandakumar; Anil K. Jain 001 (IEEE Trans. Inf. Forensics Secur., 2012)

Fingerprint Template Protection: From Theory to Practice. - Anil K. Jain 001; Karthik Nandakumar; Abhishek Nagar (Security and Privacy in Biometrics, 2013)

Estimating in-plane rotation angle for face images from multi-poses. - Seyed Mohammad Hassan Anvar; Wei-Yun Yau; Karthik Nandakumar; Eam Khwang Teoh (CIBIM, 2013)

BioSAKE: Biometrics-based secure authentication and key exchange. - Karthik Nandakumar (ICB, 2013)

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 001; Wei-Yun Yau (ICMI, 2013)

Biometric Template Protection: Bridging the performance gap between theory and practice. - Karthik Nandakumar; Anil K. Jain 001 (IEEE Signal Process. Mag., 2015)

Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning. - Seyedehsamaneh Shojaeilangari; Wei-Yun Yau; Karthik Nandakumar; Jun Li 005; Eam Khwang Teoh (IEEE Trans. Image Process., 2015)

Biometric System Design, Overview. - Anil K. Jain 001; Karthik Nandakumar (Encyclopedia of Biometrics, 2015)

Security Issues, System Design. - Karthik Nandakumar (Encyclopedia of Biometrics, 2015)

Soft Biometrics. - Karthik Nandakumar; Anil K. Jain 001 (Encyclopedia of Biometrics, 2015)

Fusion, Score-Level. - Arun Ross; Karthik Nandakumar (Encyclopedia of Biometrics, 2015)

50 years of biometric research: Accomplishments, challenges, and opportunities. - Anil K. Jain 001; Karthik Nandakumar; Arun Ross (Pattern Recognit. Lett., 2016)

Secure one-time biometrie tokens for non-repudiable multi-party transactions. - Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Shelby Darnell (WIFS, 2017)

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 (IC2E, 2018)

PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. - Lingjuan Lyu; Karthik Nandakumar; Benjamin I. P. Rubinstein; Jiong Jin; Justin Bedo; Marimuthu Palaniswami (IEEE Trans. Ind. Informatics, 2018)

Towards Deep Neural Network Training on Encrypted Data. - Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Shai Halevi (CVPR Workshops, 2019)

Proving Multimedia Integrity using Sanitizable Signatures Recorded on Blockchain. - Karthik Nandakumar; Nalini K. Ratha; Sharathchandra Pankanti (IH&MMSec, 2019)

High-frequency crowd insights for public safety and congestion control. - Karthik Nandakumar; Sebastien Blandin; Laura Wynter (CoRR, 2019)

Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. - Lingjuan Lyu; Jiangshan Yu; Karthik Nandakumar; Yitong Li 002; Xingjun Ma; Jiong Jin (CoRR, 2019)

Privacy Enhanced Decision Tree Inference. - Kanthi K. Sarpatwar; Nalini K. Ratha; Karthik Nandakumar; Karthikeyan Shanmugam; James T. Rayfield; Sharath Pankanti; Roman Vaculín (CVPR Workshops, 2020)

Decentralized Privacy-Preserving Netting Protocol on Blockchain for Payment Systems. - Shengjiao Cao; Yuan Yuan; Angelo De Caro; Karthik Nandakumar; Kaoutar Elkhiyaoui; Yanyan Hu (Financial Cryptography, 2020)

Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing. - Osama Ouda; Karthik Nandakumar; Arun Ross (ICPR, 2020)

Blockchain: From Technology to Marketplaces. - Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Alex Pentland; Maurice Herlihy (Computer, 2020)

Towards Fair and Privacy-Preserving Federated Deep Models. - Lingjuan Lyu; Jiangshan Yu; Karthik Nandakumar; Yitong Li 002; Xingjun Ma; Jiong Jin; Han Yu 001; Kee Siong Ng (IEEE Trans. Parallel Distributed Syst., 2020)

CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. - Nayna Jain; Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Uttam Kumar (AIMLSystems, 2021)

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. - Shikhar Srivastava 001; Mohammad Yaqub; Karthik Nandakumar; Zongyuan Ge; Dwarikanath Mahapatra (DART/FAIR@MICCAI, 2021)

Optimizing Homomorphic Encryption based Secure Image Analytics. - Nayna Jain; Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Uttam Kumar (MMSP, 2021)

Efficient CNN Building Blocks for Encrypted Data. - Nayna Jain; Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Uttam Kumar (CoRR, 2021)

Efficient Encrypted Inference on Ensembles of Decision Trees. - Kanthi K. Sarpatwar; Karthik Nandakumar; Nalini K. Ratha; James T. Rayfield; Karthikeyan Shanmugam; Sharath Pankanti; Roman Vaculín (CoRR, 2021)

Discovering Spatial Relationships by Transformers for Domain Generalization. - Cuicui Kang; Karthik Nandakumar (CoRR, 2021)

Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization. - Cuicui Kang; Karthik Nandakumar (CoRR, 2021)

On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. - Otabek Nazarov; Mohammad Yaqub; Karthik Nandakumar (BMVC, 2022)

PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. - Nayna Jain; Karthik Nandakumar; Nalini K. Ratha; Sharath Pankanti; Uttam Kumar (COMAD/CODS, 2022)

On Demographic Bias in Fingerprint Recognition. - Akash Godbole; Steven A. Grosz; Karthik Nandakumar; Anil K. Jain 001 (IJCB, 2022)

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. - Naif Alkhunaizi; Dmitry Kamzolov; Martin Takác 001; Karthik Nandakumar (MICCAI (8), 2022)

Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. - Faris Almalik; Mohammad Yaqub; Karthik Nandakumar (MICCAI (3), 2022)

SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. - Sayed Hashim; Muhammad Ali; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2022)

MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages. - Gokul Karthik Kumar; Abhishek Singh Gehlot; Sahal Shaji Mullappilly; Karthik Nandakumar (CoRR, 2022)

Learning an Ensemble of Deep Fingerprint Representations. - Akash Godbole; Karthik Nandakumar; Anil K. Jain 001 (CoRR, 2022)

Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. - Sayed Hashim; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2022)

Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. - Gokul Karthik Kumar; Karthik Nandakumar (CoRR, 2022)

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. - Lingjuan Lyu; Yitong Li 002; Karthik Nandakumar; Jiangshan Yu; Xingjun Ma (IEEE Trans. Dependable Secur. Comput., 2022)

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CVPR, 2023)

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. - Fahad Shamshad; Koushik Srivatsan; Karthik Nandakumar (CVPR, 2023)

Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. - Shikhar Srivastava 001; Mohammad Yaqub; Karthik Nandakumar (CVPR Workshops, 2023)

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. - Nurbek Tastan; Karthik Nandakumar (CVPR, 2023)

Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. - Mubarak G. Abdu-Aguye; Karthik Nandakumar (EUSIPCO, 2023)

On the Effects of Filtering Methods on Adversarial Timeseries Data. - Mubarak G. Abdu-Aguye; Karthik Nandakumar (GeoPrivacy@SIGSPATIAL, 2023)

Towards Building Text-to-Speech Systems for the Next Billion Users. - Gokul Karthik Kumar; Praveen S. V; Pratyush Kumar; Mitesh M. Khapra; Karthik Nandakumar (ICASSP, 2023)

Single-branch Network for Multimodal Training. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Haris Khan; Muhammad Zaigham Zaheer; Karthik Nandakumar; Muhammad Haroon Yousaf; Arif Mahmood (ICASSP, 2023)

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. - Naif Alkhunaizi; Koushik Srivatsan; Faris Almalik; Ibrahim Almakky; Karthik Nandakumar (IJCB, 2023)

On Self-Supervised Learning and Prompt Tuning of Vision Transformers for Cross-sensor Fingerprint Presentation Attack Detection. - Maryam Nadeem; Karthik Nandakumar (IJCB, 2023)

FLIP: Cross-domain Face Anti-spoofing with Language Guidance. - Koushik Srivatsan; Muzammal Naseer; Karthik Nandakumar (ICCV, 2023)

FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. - Faris Almalik; Naif Alkhunaizi; Ibrahim Almakky; Karthik Nandakumar (MICCAI (2), 2023)

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 (ASMUS@MICCAI, 2023)

DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. - Vu Ngoc Tu; Van Thong Huynh; Hyung-Jeong Yang; Soo-Hyung Kim; Shah Nawaz; Karthik Nandakumar; Muhammad Zaigham Zaheer (ACM Multimedia, 2023)

Byzantine-Tolerant Methods for Distributed Variational Inequalities. - Nazarii Tupitsa; Abdulla Jasem Almansoori; Yanlin Wu; Martin Takác 001; Karthik Nandakumar; Samuel Horváth; Eduard Gorbunov (NeurIPS, 2023)

PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. - Toluwani Aremu; Karthik Nandakumar (SaTML, 2023)

A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features. - Rouqaiah Al-Refai; Karthik Nandakumar (WACV (Workshops), 2023)

Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. - Mohammed Talha Alam; Raza Imam; Mohammad Areeb Qazi; Asim Ukaye; Karthik Nandakumar (BMVC Workshops, 2024)

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 (CVPR, 2024)

Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models. - Samar Fares; Karthik Nandakumar (CVPR, 2024)

Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. - Khawar Islam; Muhammad Zaigham Zaheer; Arif Mahmood; Karthik Nandakumar (CVPR, 2024)

Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (ECCV Workshops (22), 2024)

Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. - Mubarak G. Abdu-Aguye; Muhammad Zaigham Zaheer; Karthik Nandakumar (ICDM, 2024)

Multi-Attribute Vision Transformers are Efficient and Robust Learners. - Hanan Gani; Nada Saadi; Noor Hussein; Karthik Nandakumar (ICIP, 2024)

Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. - Nikita Kotelevskii; Samuel Horváth; Karthik Nandakumar; Martin Takác 001; Maxim Panov (IJCAI, 2024)

Redefining Contributions: Shapley-Driven Federated Learning. - Nurbek Tastan; Samar Fares; Toluwani Aremu; Samuel Horváth; Karthik Nandakumar (IJCAI, 2024)

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 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. - Mothilal Asokan; Joseph Geo Benjamin; Mohammad Yaqub; Karthik Nandakumar (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

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 001; Rao Muhammad Anwer (MICCAI (12), 2024)

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. - Noor Hussein; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (MICCAI (12), 2024)

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. - Muhammad Ridzuan; Numan Saeed; Fadillah Adamsyah Maani; Karthik Nandakumar; Mohammad Yaqub (CaPTion@MICCAI, 2024)

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. - Nada Saadi; Numan Saeed; Mohammad Yaqub; Karthik Nandakumar (MICCAI (12), 2024)

SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. - Numan Saeed; Muhammad Ridzuan; Fadillah Adamsyah Maani; Hussain Alasmawi; Karthik Nandakumar; Mohammad Yaqub (MICCAI (5), 2024)

A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. - 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 (ACM Multimedia, 2024)

A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. - Anas Al-Lahham; Nurbek Tastan; Muhammad Zaigham Zaheer; Karthik Nandakumar (WACV, 2024)

A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. - Salem AlMarri; Muhammad Zaigham Zaheer; Karthik Nandakumar (WACV (Workshops), 2024)

Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. - 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 (CoRR, 2024)

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. - Samar Fares; Klea Ziu; Toluwani Aremu; Nikita Durasov; Martin Takác 001; Pascal Fua; Karthik Nandakumar; Ivan Laptev (CoRR, 2024)

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Markus Schedl (CoRR, 2024)

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf; Hassan Sajjad 001; Tom De Schepper; Markus Schedl (CoRR, 2024)

STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CoRR, 2024)

FedRISE: Rating Induced Sign Election of Gradients for Byzantine Tolerant Federated Aggregation. - Joseph Geo Benjamin; Mothilal Asokan; Mohammad Yaqub; Karthik Nandakumar (CoRR, 2024)

GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing. - Khawar Islam; Muhammad Zaigham Zaheer; Arif Mahmood; Karthik Nandakumar; Naveed Akhtar (CoRR, 2024)

FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning. - Nurbek Tastan; Samuel Horváth; Martin Takác 001; Karthik Nandakumar (CPAL, 2025)

FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning. - Joseph Geo Benjamin; Mothilal Asokan; Mohammad Yaqub; Karthik Nandakumar (CVPR Workshops, 2025)

FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos. - Khaled Dawoud; Zaigham Zaheer; Mustaqeem Khan 001; Karthik Nandakumar; Abdulmotaleb Elsaddik; Muhammad Haris Khan (CVPR Workshops, 2025)

Towards Evaluating the Robustness of Visual State Space Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

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 (CVPR, 2025)

Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models. - Fahad Shamshad; Noor Hussein; Karthik Nandakumar (MIUA (1), 2025)

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. - Raza Imam; Hanan Gani; Muhammad Huzaifa; Karthik Nandakumar (WACV, 2025)

CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning. - Nurbek Tastan; Samuel Horváth; Karthik Nandakumar (Trans. Mach. Learn. Res., 2025)

A Framework for Double-Blind Federated Adaptation of Foundation Models. - Nurbek Tastan; Karthik Nandakumar (CoRR, 2025)

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Khan 001; Salman Khan 001 (CoRR, 2025)

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks. - Nurbek Tastan; Samuel Horváth; Karthik Nandakumar (CoRR, 2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. - Numan Saeed; Shahad Hardan; Muhammad Ridzuan; Nada Saadi; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2025)

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning. - Nurbek Tastan; Stefanos Laskaridis; Martin Takác 001; Karthik Nandakumar; Samuel Horváth (CoRR, 2025)

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. - Shahad Hardan; Darya Taratynova; Abdelmajid Essofi; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2025)

Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Ignazio Gallo; Markus Schedl (Int. J. Multim. Inf. Retr., 2025)

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking. - Toluwani Aremu; Noor Hussein; Munachiso Nwadike; Samuele Poppi; Jie Zhang; Karthik Nandakumar; Neil Gong 001; Nils Lukas (CoRR, 2025)

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing. - Mohammed Talha Alam; Fahad Shamshad; Fakhri Karray; Karthik Nandakumar (CoRR, 2025)