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Karthik Nandakumar

25 papers · 2022–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (8)
🌍 Conference Polyglot (10) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (25) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (98)

Conferences

CVPR (7) MICCAI (5) WACV (3) EMNLP (2) ICCV (2) IJCAI (2) ACL (1) ICML (1) MLHC (1) NIPS (1)

Top co-authors

Nurbek Tastan (6) Fahad Shamshad (6) Muzammal Naseer (5) Samuel HorvΓ‘th (4) Mohammad Yaqub (3) Muhammad Zaigham Zaheer (3) Koushik Srivatsan (3) Numan Saeed (3) Gokul Karthik Kumar (2) Asif Hanif (2)

Research topics

Privacy (2)

Keywords

federated learning (5) adversarial attack (4) contrastive learning (2) latent space (2) transfer learning (2) privacy-preserving learning (2) backdoor attack (2) unsupervised learning (2) generative model (2) diffusion model (2) video anomaly detection (2) image classification (2) fully homomorphic encryption (2) adversarial robustness (2) video generation (1) uncertainty quantification (1) vision transformer (1) variational inequality (1) robust optimization (1) domain generalization (1)

Papers

VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping WACV 2026 A Framework for Double-Blind Federated Adaptation of Foundation Models ICCV 2025 STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models CVPR 2025 TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models EMNLP 2025 Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks ICML 2025 Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings MICCAI 2025 FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation MLHC 2025 Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models WACV 2025 Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning MICCAI 2024 PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation MICCAI 2024 PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning MICCAI 2024 DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast MICCAI 2024 A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection WACV 2024 Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024 Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 FLIP: Cross-domain Face Anti-spoofing with Language Guidance ICCV 2023 CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023 Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces CVPR 2023 Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features EMNLP 2022 MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages ACL 2022