Nandakumar, Karthik

29 publications

ICCV 2025 A Framework for Double-Blind Federated Adaptation of Foundation Models Nurbek Tastan, Karthik Nandakumar
ICLRW 2025 A Framework for Double-Blind Federated Adaptation of Foundation Models Nurbek Tastan, Karthik Nandakumar
ICML 2025 Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
TMLR 2025 CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
MLHC 2025 FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation Asim Ukaye, Numan Saeed, Karthik Nandakumar
CPAL 2025 FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan, Samuel Horváth, Martin Takáč, Karthik Nandakumar
CVPRW 2025 FedSECA: Sign Election and Coordinate-Wise Aggregation of Gradients for Byzantine Tolerant Federated Learning Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar
ICLRW 2025 First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge Fahad Shamshad, Tameem Bakr, Yahia Salaheldin Shaaban, Noor Hazim Hussein, Karthik Nandakumar, Nils Lukas
CVPRW 2025 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
CVPR 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
WACV 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
CVPRW 2025 Towards Evaluating the Robustness of Visual State Space Models Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman Khan
WACV 2024 A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar
CVPR 2024 Attack to Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models Samar Fares, Karthik Nandakumar
CVPR 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 DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar
IJCAI 2024 Dirichlet-Based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov
ECCVW 2024 Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
IJCAI 2024 Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar
NeurIPS 2023 Byzantine-Tolerant Methods for Distributed Variational Inequalities Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takac, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
CVPR 2023 CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
CVPR 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss Nurbek Tastan, Karthik Nandakumar
CVPR 2023 Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
ICCV 2023 FLIP: Cross-Domain Face Anti-Spoofing with Language Guidance Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
CVPRW 2023 Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar
CVPRW 2020 Privacy Enhanced Decision Tree Inference Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín
CVPRW 2019 Towards Deep Neural Network Training on Encrypted Data Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi
CVPRW 2008 On Matching Latent Fingerprints Anil K. Jain, Jianjiang Feng, Abhishek Nagar, Karthik Nandakumar
ECCV 2004 Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition Anil K. Jain, Karthik Nandakumar, Xiaoguang Lu, Unsang Park