Besides using transfer learning for video forgery detection, motivated by [2,55,56,57], a hybrid CNN-RNN architecture is proposed in this research for distinguishing fake from real videos. Specifically, this hybrid model uses EfficientNet serialized with a GRU layer for spatial–temporal feature ex...
We have all been there. Looking at your screen trying to identify if the video your watching is real or fake. If the famous actor is really saying a controversial statement (and therefore has his or hers career destroyed) or if, by any chance, the recording is fake but was created in ...
A deep fake is the act of maliciously replacing real images and videos with fabricated ones to perform information manipulation. To create images, video and audio that are high quality enough to be used in deep fakes, AI and ML are required. Such use of AI, ML and image replacement are ...
In this episode however we want to take a look at the implications of how easy it has become to fake photos, to fake video, and to fake other data and how it will probably get even easier and how that might impact you and also the practice of law. Tom, what’s ...
• A deep fake might falsely depict a white police officer shooting an unarmed black man while shouting racial epithets; • A fake audio clip might “reveal” criminal behavior by a candidate on the eve of an election; • A fake video might portray an Israeli official doing or saying...
Deepfake, a blend of the terms “deep learning” and “fake”, refers to images, videos, or audio that have been manipulated or created using artificial intelligence. These media can portray both real and fictional individuals and are categorized as a form of synthetic media [2]. Generating ...
Quantization-aware training performs clamping and rounding tasks by placing a fake quantization module in the model during training, which can be changed to the integrated model with values such as scale and zero points stored in the module when training is completed....
1.4. Complementary Software The NVIDIA Triton™ Inference Server is a higher-level library providing optimized inference across CPUs and GPUs. It provides capabilities for starting and managing multiple models and REST and gRPC endpoints for serving inference. NVIDIA DALI® provides high-performance...
This domain is an open area of research ranging with many challenges, especially with the capabilities of GANs and deep fakes. The study is unexplored in lips reconstruction, the interior of mouth reconstruction, eyelids reconstruction, hair styling for various hair, and complete head reconstruction...
lifelike version, complete with depth – so real that, in the case of half the examples in the video, it is highly doubtful that anyone would be able to tell the difference. With the few examples that look fake, it is only a matter of time before the AI gets good...