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20192025
most citedFace Morphing Attack Generation & Detection: A Comprehensive Survey

17 citations · 40 across the 14 of their papers we have counts for

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20 papers · 1 filter

cs.CV2025

SpectraIrisPAD: Leveraging Vision Foundation Models for Spectrally Conditioned Multispectral Iris Presentation Attack Detection

Raghavendra Ramachandra, Sushma Venkatesh

Iris recognition is widely recognized as one of the most accurate biometric modalities. However, its growing deployment in real-world applications raises significant concerns regar…

cs.CV20254 cited

Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model

Sushrut Patwardhan, Raghavendra Ramachandra, Sushma Venkatesh

Morphing attack detection has become an essential component of face recognition systems for ensuring a reliable verification scenario. In this paper, we present a multimodal learni…

cs.CV2025

Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models

Ria Shekhawat, Hailin Li, Raghavendra Ramachandra +1

Leveraging the power of multimodal large language models (LLMs) offers a promising approach to enhancing the accuracy and interpretability of morphing attack detection (MAD), espec…

cs.CV2024

MorCode: Face Morphing Attack Generation using Generative Codebooks

Aravinda Reddy PN, Raghavendra Ramachandra, Sushma Venkatesh +3

Face recognition systems (FRS) can be compromised by face morphing attacks, which blend textural and geometric information from multiple facial images. The rapid evolution of gener…

cs.CV2024

VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

Raghavendra Ramachandra, Narayan Vetrekar, Sushma Venkatesh +3

Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attac…

cs.CV2023

Does complimentary information from multispectral imaging improve face presentation attack detection?

Narayan Vetrekar, Raghavendra Ramachandra, Sushma Venkatesh +2

Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multisp…