Sökning: "deepfakes detection"

Hittade 5 uppsatser innehållade orden deepfakes detection.

  1. 1. Deepfake detection by humans : Face swap versus lip sync

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Isak Sundström; [2023]
    Nyckelord :Deepfakes; Face swap; Lip sync; User study; Deepfakes; Face swap; Lip sync; Användarstudie;

    Sammanfattning : The term “deepfakes” refers to media content that has been manipulated using deep learning. This thesis project seeks to answer the question of how well humans are able to detect deepfakes. In particular, the project compares people’s ability to detect deepfakes between two different deepfake categories; face swap and lip sync. LÄS MER

  3. 2. The Contribution of Visual Explanations in Forensic Investigations of Deepfake Video : An Evaluation

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Lisa Fjellström; [2021]
    Nyckelord :Deepfakes; Explainable AI; Local Interpretable Model-Agnostic Explanations LIME ; Forensic Investigations;

    Sammanfattning : Videos manipulated by machine learning have rapidly increased online in the past years. So called deepfakes can depict people who never participated in a video recording by transposing their faces onto others in it. This raises the concern of authenticity of media, which demand for higher performing detection methods in forensics. LÄS MER

  4. 3. Cooperative edge deepfake detection

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Enis Hasanaj; Albert Aveler; William Söder; [2021]
    Nyckelord :Machine learning; deepfake; artificial intelligence; ensemble; convolutional neural networks; edge; YOLOv2;

    Sammanfattning : Deepfakes are an emerging problem in social media and for celebrities and political profiles, it can be devastating to their reputation if the technology ends up in the wrong hands. Creating deepfakes is becoming increasingly easy. LÄS MER

  5. 4. Stronger Together? An Ensemble of CNNs for Deepfakes Detection

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Angelica Gardner; [2020]
    Nyckelord :deepfakes; deepfakes detection; supervised learning; binary classification; convolutional neural networks; ensemble learning; stacking;

    Sammanfattning : Deepfakes technology is a face swap technique that enables anyone to replace faces in a video, with highly realistic results. Despite its usefulness, if used maliciously, this technique can have a significant impact on society, for instance, through the spreading of fake news or cyberbullying. LÄS MER

  7. 5. Facial Identity Embeddings for Deepfake Detection in Videos

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Alkazhami Emir; [2020]
    Nyckelord :deepfake; face swap; facial recognition; deep features; detection; classification; head pose; facial identity;

    Sammanfattning : Forged videos of swapped faces, so-called deepfakes, have gained a  lot  of  attention in recent years. Methods for automated detection of this type of manipulation are also seeing rapid progress in their development. LÄS MER