State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
The rapid advancement of deepfake technologies, specifically designed to create incredibly
lifelike facial imagery and video content, has ignited a remarkable level of interest and …
lifelike facial imagery and video content, has ignited a remarkable level of interest and …
Securing online integrity: a hybrid approach to deepfake detection and removal using Explainable AI and Adversarial Robustness Training
RU Maheshwari, B Paulchamy - Automatika, 2024 - Taylor & Francis
As deepfake technology becomes increasingly sophisticated, the proliferation of
manipulated images presents a significant threat to online integrity, requiring advanced …
manipulated images presents a significant threat to online integrity, requiring advanced …
LFRViT: Laplacian Filter Residual-based Vision Transformer for Multiple Image Forgery Detection
When producing a manipulative image, a forger can alter an image through a variety of
image tampering techniques. Due to the need to test for various image editing operations …
image tampering techniques. Due to the need to test for various image editing operations …
A Data-Driven Deep Machine Learning Approach for Tunnel Deformation Risk Assessment.
F Liu - International Journal of Advanced Computer Science …, 2024 - search.ebscohost.com
The shallow overburden pipe jacking over operation tunnel construction project in chalk
stratum has the risk of deformation of the soil layer and the existing tunnel, which increases …
stratum has the risk of deformation of the soil layer and the existing tunnel, which increases …