Karthik Nandakumar

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 80

Top Venues

Publications

Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar
Redefining Contributions: Shapley-Driven Federated Learning. CoRR (2024)
Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR (2024)
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models. CoRR (2024)
Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR (2024)
Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR (2024)
Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR (2024)
Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai, Muzammal Naseer, Karthik Nandakumar
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. CoRR (2024)
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
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR (2024)
Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR (2024)
Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan
Towards Evaluating the Robustness of Visual State Space Models. CoRR (2024)
Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR (2024)
Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. WACV (2024)
Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. WACV (Workshops) (2024)
Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. CoRR (2024)
Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar
Multi-Attribute Vision Transformers are Efficient and Robust Learners. CoRR (2024)
Anas Al-Lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CoRR (2024)
Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. CoRR (2023)
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar
Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops (2023)
Toluwani Aremu, Karthik Nandakumar
PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. SaTML (2023)
Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
FLIP: Cross-domain Face Anti-spoofing with Language Guidance. CoRR (2023)
Mubarak G. Abdu-Aguye, Karthik Nandakumar
Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. EUSIPCO (2023)
Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub
Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI (2023)
Maryam Nadeem, Karthik Nandakumar
On Self-Supervised Learning and Prompt Tuning of Vision Transformers for Cross-sensor Fingerprint Presentation Attack Detection. IJCB (2023)
Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. CoRR (2023)
Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Soo-Hyung Kim
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. CoRR (2023)
Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search. CoRR (2023)
Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
FLIP: Cross-domain Face Anti-spoofing with Language Guidance. ICCV (2023)
Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
Byzantine-Tolerant Methods for Distributed Variational Inequalities. CoRR (2023)
Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. CVPR (2023)
Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) (2023)
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CVPR (2023)
Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. IJCB (2023)
Rouqaiah Al-Refai, Karthik Nandakumar
A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features. WACV (Workshops) (2023)
Nurbek Tastan, Karthik Nandakumar
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. CVPR (2023)
Mubarak G. Abdu-Aguye, Karthik Nandakumar
On the Effects of Filtering Methods on Adversarial Timeseries Data. GeoPrivacy@SIGSPATIAL (2023)
Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Soo-Hyung Kim, Shah Nawaz, Karthik Nandakumar, Muhammad Zaigham Zaheer
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. ACM Multimedia (2023)
Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
Single-branch Network for Multimodal Training. ICASSP (2023)
Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP (2023)
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CoRR (2023)
Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
Byzantine-Tolerant Methods for Distributed Variational Inequalities. NeurIPS (2023)
Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. CoRR (2023)
Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood
Single-branch Network for Multimodal Training. CoRR (2023)
Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. CoRR (2023)
Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly, Karthik Nandakumar
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages. CoRR (2022)
Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain
On Demographic Bias in Fingerprint Recognition. IJCB (2022)
Akash Godbole, Karthik Nandakumar, Anil K. Jain
Learning an Ensemble of Deep Fingerprint Representations. CoRR (2022)
Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain
On Demographic Bias in Fingerprint Recognition. CoRR (2022)
Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) (2022)
Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR (2022)
Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR (2022)
Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR (2022)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. COMAD/CODS (2022)
Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC (2022)
Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR (2022)
Gokul Karthik Kumar, Karthik Nandakumar
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. CoRR (2022)
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)
Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR (2022)
Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) (2022)
Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR (2022)
Cuicui Kang, Karthik Nandakumar
Discovering Spatial Relationships by Transformers for Domain Generalization. CoRR (2021)
Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI (2021)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
Efficient CNN Building Blocks for Encrypted Data. CoRR (2021)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. AIMLSystems (2021)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
Optimizing Homomorphic Encryption based Secure Image Analytics. MMSP (2021)
Kanthi K. Sarpatwar, Karthik Nandakumar, Nalini K. Ratha, James T. Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculín
Efficient Encrypted Inference on Ensembles of Decision Trees. CoRR (2021)
Cuicui Kang, Karthik Nandakumar
Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization. CoRR (2021)
Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Alex Pentland, Maurice Herlihy
Blockchain: From Technology to Marketplaces. Computer 53 (7) (2020)
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31 (11) (2020)
Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín
Privacy Enhanced Decision Tree Inference. CVPR Workshops (2020)
Shengjiao Cao, Yuan Yuan, Angelo De Caro, Karthik Nandakumar, Kaoutar Elkhiyaoui, Yanyan Hu
Decentralized Privacy-Preserving Netting Protocol on Blockchain for Payment Systems. Financial Cryptography (2020)
Osama Ouda, Karthik Nandakumar, Arun Ross
Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing. ICPR (2020)
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR (2020)
Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi
Towards Deep Neural Network Training on Encrypted Data. CVPR Workshops (2019)
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. CoRR (2019)
Karthik Nandakumar, Sebastien Blandin, Laura Wynter
High-frequency crowd insights for public safety and congestion control. CoRR (2019)
Karthik Nandakumar, Nalini K. Ratha, Sharathchandra Pankanti
Proving Multimedia Integrity using Sanitizable Signatures Recorded on Blockchain. IH&MMSec (2019)
Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami
PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. IEEE Trans. Ind. Informatics 14 (8) (2018)
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
Double-Blind Consent-Driven Data Sharing on Blockchain. IC2E (2018)
Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shelby Darnell
Secure one-time biometrie tokens for non-repudiable multi-party transactions. WIFS (2017)
Anil K. Jain, Karthik Nandakumar, Arun Ross
50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recognit. Lett. 79 (2016)
Karthik Nandakumar, Anil K. Jain
Biometric Template Protection: Bridging the performance gap between theory and practice. IEEE Signal Process. Mag. 32 (5) (2015)
Seyedehsamaneh Shojaeilangari, Wei-Yun Yau, Karthik Nandakumar, Jun Li, Eam Khwang Teoh
Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning. IEEE Trans. Image Process. 24 (7) (2015)
Seyed Mohammad Hassan Anvar, Wei-Yun Yau, Karthik Nandakumar, Eam Khwang Teoh
Estimating in-plane rotation angle for face images from multi-poses. CIBIM (2013)
Karthik Nandakumar, Kong-Wah Wan, Siu Man Alice Chan, Wen Zheng Terence Ng, Jian-Gang Wang, Wei-Yun Yau
A multi-modal gesture recognition system using audio, video, and skeletal joint data. ICMI (2013)
Karthik Nandakumar
BioSAKE: Biometrics-based secure authentication and key exchange. ICB (2013)
Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
Multibiometric Cryptosystems Based on Feature-Level Fusion. IEEE Trans. Inf. Forensics Secur. 7 (1) (2012)
Anil K. Jain, Karthik Nandakumar
Biometric Authentication: System Security and User Privacy. Computer 45 (11) (2012)
Karthik Nandakumar
Fingerprint matching based on minutiae phase spectrum. ICB (2012)
Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
A hybrid biometric cryptosystem for securing fingerprint minutiae templates. Pattern Recognit. Lett. 31 (8) (2010)
Karthik Nandakumar
A fingerprint cryptosystem based on minutiae phase spectrum. WIFS (2010)
Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
Biometric template transformation: a security analysis. Media Forensics and Security (2010)
Anil K. Jain, Jianjiang Feng, Karthik Nandakumar
Fingerprint Matching. Computer 43 (2) (2010)
Karthik Nandakumar, Anil K. Jain, Arun Ross
Fusion in Multibiometric Identification Systems: What about the Missing Data?. ICB (2009)
Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K. Jain
Likelihood Ratio-Based Biometric Score Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 30 (2) (2008)
Anil K. Jain, Jianjiang Feng, Abhishek Nagar, Karthik Nandakumar
On matching latent fingerprints. CVPR Workshops (2008)
Anil K. Jain, Karthik Nandakumar, Abhishek Nagar
Biometric Template Security. EURASIP J. Adv. Signal Process. 2008 (2008)
Abhishek Nagar, Karthik Nandakumar, Anil K. Jain
Securing fingerprint template: Fuzzy vault with minutiae descriptors. ICPR (2008)
Karthik Nandakumar, Abhishek Nagar, Anil K. Jain
Hardening Fingerprint Fuzzy Vault Using Password. ICB (2007)
Karthik Nandakumar, Anil K. Jain, Sharath Pankanti
Fingerprint-Based Fuzzy Vault: Implementation and Performance. IEEE Trans. Inf. Forensics Secur. 2 (4) (2007)
Karthik Nandakumar, Yi Chen, Anil K. Jain, Sarat C. Dass
Quality-based Score Level Fusion in Multibiometric Systems. ICPR (4) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Karthik Nandakumar