Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]
PLoS OneLi Z, Tang W, Gao S, Wang Y, Wang S.
europepmc +1 more source
With the proliferation of deepfake audio, there is an urgent need to investigate their attribution. Current source tracing methods can effectively distinguish in-distribution (ID) categories.
Cheng, Haonnan +7 more
core
Decoding deception: state-of-the-art approaches to deep fake detection. [PDF]
Front Big DataHussain T +4 more
europepmc +1 more source
Robust deepfake detector against deep image watermarking. [PDF]
PLoS OneYu J, Liu X, Zan F, Peng Y.
europepmc +1 more source
Exploring the Impact of Moire Pattern on Deepfake Detectors
Deepfake detection is critical in mitigating the societal threats posed by manipulated videos. While various algorithms have been developed for this purpose, challenges arise when detectors operate externally, such as on smartphones, when users take a ...
Tariq, Razaib +2 more
core
Detecting anti-forensic deepfakes with identity-aware multi-branch networks. [PDF]
Front Big DataZhu M, Long J.
europepmc +1 more source
Does "distance lend enchantment"? Public attitudes to deepfake technology in the United States. [PDF]
Public Underst SciDenia E, Durant J.
europepmc +1 more source
Deepfake defense: Combining spatial and temporal cues with CNN-BiLSTM-transformer architecture. [PDF]
PLoS OneYadav S, Mangalampalli SS.
europepmc +1 more source
Deepfake video deception detection using visual attention-based method. [PDF]
Sci RepLal K, Shiwani S, Gandhi GC.
europepmc +1 more source
A gated temporal attention based intra prediction framework for robust deepfake video detection. [PDF]
Sci RepClapten JE, Balaji V.
europepmc +1 more source