Results 31 to 40 of about 1,097 (171)
Improved Optical Flow Estimation Method for Deepfake Videos
Sensors, 2022 Creating deepfake multimedia, and especially deepfake videos, has become much easier these days due to the availability of deepfake tools and the virtually unlimited numbers of face images found online.
Ali Bou Nassif +3 more
doaj +1 more source
Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms
IEEE AccessDeepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content.
Gunwoo Lee +6 more
doaj +1 more source
Frequency Domain Filtered Residual Network for Deepfake Detection
Mathematics, 2023 As deepfake becomes more sophisticated, the demand for fake facial image detection is increasing. Although great progress has been made in deepfake detection, the performance of most existing deepfake detection methods degrade significantly when these ...
Bo Wang +5 more
doaj +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
AI &Innovation, EarlyView.This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source
The Deepfake Challenges and Deepfake Video Detection
International Journal of Innovative Technology and Exploring Engineering, 2020 Deepfake is a combination of fake and deep-learning technology. Deep learning is the function of artificial intelligence that can be used to create and detect deepfakes. Deepfakes are created using generative adversarial networks, in which two machine learning models exit.
openaire +1 more source
Deepfake video detection methods, approaches, and challenges
Alexandria Engineering JournalDeepfake technology creates highly realistic manipulated videos using deep learning models, which makes distinguishing between authentic and fake content extremely difficult.
Mubarak Alrashoud
doaj +1 more source
Identity-Driven DeepFake Detection
CoRR, 2020 DeepFake detection has so far been dominated by ``artifact-driven'' methods and the detection performance significantly degrades when either the type of image artifacts is unknown or the artifacts are simply too hard to find. In this work, we present an alternative approach: Identity-Driven DeepFake Detection.
Xiaoyi Dong +7 more
openaire +2 more sources
FaceGuard: Proactive Deepfake Detection
CoRR, 2021 Existing deepfake-detection methods focus on passive detection, i.e., they detect fake face images via exploiting the artifacts produced during deepfake manipulation. A key limitation of passive detection is that it cannot detect fake faces that are generated by new deepfake generation methods.
Yuankun Yang +4 more
openaire +2 more sources
Design and development of an efficient RLNet prediction model for deepfake video detection
Frontiers in Big DataIntroductionThe widespread emergence of deepfake videos presents substantial challenges to the security and authenticity of digital content, necessitating robust detection methods.
Varad Bhandarkawthekar +3 more
doaj +1 more source