Karthik Nandakumar

papers

267

total citations

papers (11)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models

CVPR 2024arXiv

citations

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

ICCV 2023arXiv

citations

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

CVPR 2023arXiv

citations

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

CVPR 2024arXiv

citations

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models

CVPR 2025arXiv

citations

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss

CVPR 2023

citations

A Framework for Double-Blind Federated Adaptation of Foundation Models

ICCV 2025arXiv

citations

Karthik Nandakumar

papers (11)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models

Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces

Byzantine-Tolerant Methods for Distributed Variational Inequalities

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks

Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss

A Framework for Double-Blind Federated Adaptation of Foundation Models

papers (11)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models

Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces

Byzantine-Tolerant Methods for Distributed Variational Inequalities

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks

Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss

A Framework for Double-Blind Federated Adaptation of Foundation Models