Certified Human: How new Intel tech detects deepfakes in real time | Intel

Intel Senior Staff Research Scientist Ilke Demir explains the concept of deepfakes and how Intel's solution recognizes manipulated videos. Intel’s deepfake detection platform, using FakeCatcher [1] technology, identifies deepfakes with high levels of accuracy in real-time, a first for the industry. In addition, eye/gaze-based deepfake detection [2] and source GAN detection [3] are also developed by her team to aid in the battle against deepfakes. While the purpose of these solutions is to catch harmful fakes, deepfake technology can also be used for good. Dr. Demir shares how responsible deepfakes can be created by their multi-source synthesis approach [4] combining regions from multiple faces into a non-existing face, or how it can be used to protect the identities of individuals under sensitive situations by quantifiably dissimilar deepfakes [5]. The system is built on the 3rd generation Intel® Xeon® Scalable server, which enables up to 72 concurrent detection streams thanks to Intel AI