Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges
Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …
the advantages, the applications to disinformation are concerning as the counter-measures …
Mordiff: Recognition vulnerability and attack detectability of face morphing attacks created by diffusion autoencoders
Investigating new methods of creating face morphing attacks is essential to foresee novel
attacks and help mitigate them. Creating morphing attacks is commonly either performed on …
attacks and help mitigate them. Creating morphing attacks is commonly either performed on …
Spear or shield: Leveraging generative AI to tackle security threats of intelligent network services
Generative AI (GAI) models have been rapidly advancing, with a wide range of applications
including intelligent networks and mobile AI-generated content (AIGC) services. Despite …
including intelligent networks and mobile AI-generated content (AIGC) services. Despite …
Image morphing techniques: A review
AQ Aloraibi - 2023 - techniumscience.com
Nowadays image morphing has become one of the important techniques in applications that
require a graphical representation of objects. Morphing tools have become very well known …
require a graphical representation of objects. Morphing tools have become very well known …
Worst‐Case Morphs Using Wasserstein ALI and Improved MIPGAN
A morph is a combination of two separate facial images and contains the identity information
of two different people. When used in an identity document, both people can be …
of two different people. When used in an identity document, both people can be …
LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion
Face morphing attacks pose a severe security threat to face recognition systems, enabling
the morphed face image to be verified against multiple identities. To detect such …
the morphed face image to be verified against multiple identities. To detect such …
Modeling Spoof Noise by De-spoofing Diffusion and its Application in Face Anti-spoofing
Face anti-spoofing is crucial for ensuring the security and reliability of face recognition
systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect …
systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect …
[HTML][HTML] Feature Interaction-Based Face De-Morphing Factor Prediction for Restoring Accomplice's Facial Image
Face morphing attacks disrupt the essential correlation between a face image and its identity
information, posing a significant challenge to face recognition systems. Despite …
information, posing a significant challenge to face recognition systems. Despite …
Fast-dim: Towards fast diffusion morphs
ZW Blasingame, C Liu - IEEE Security & Privacy, 2024 - ieeexplore.ieee.org
Fast-DiM: Towards Fast Diffusion Morphs Page 1 1540-7993/24©2024IEEE Copublished by
the IEEE Computer and Reliability Societies July/August 2024 103 SYNTHETIC REALITIES …
the IEEE Computer and Reliability Societies July/August 2024 103 SYNTHETIC REALITIES …