most citedStraight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

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.CR2024

Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection

Aravinda Reddy PN, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao +1

Deepfakes pose a critical threat to biometric authentication systems by generating highly realistic synthetic media. Existing multimodal deepfake detectors often struggle to adapt…

cs.SD20241 cited

Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection

Aravinda Reddy PN, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao +2

Deepfakes are a major security risk for biometric authentication. This technology creates realistic fake videos that can impersonate real people, fooling systems that rely on facia…

cs.CV2024

MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement

Aravinda Reddy PN, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao +1

Face-morphing attacks are a growing concern for biometric researchers, as they can be used to fool face recognition systems (FRS). These attacks can be generated at the image level…

cs.CV2023

ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping

Aravinda Reddy PN, K. Sreenivasa Rao, Raghavendra Ramachandra +1

We present a novel face swapping method using the progressively growing structure of a pre-trained StyleGAN. Previous methods use different encoder decoder structures, embedding in…