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[HTML][HTML] On the generalization of deep learning models in video deepfake detection
The increasing use of deep learning techniques to manipulate images and videos,
commonly referred to as “deepfakes”, is making it more challenging to differentiate between …
commonly referred to as “deepfakes”, is making it more challenging to differentiate between …
Detecting images generated by diffusers
In recent years, the field of artificial intelligence has witnessed a remarkable surge in the
generation of synthetic images, driven by advancements in deep learning techniques. These …
generation of synthetic images, driven by advancements in deep learning techniques. These …
MINTIME: multi-identity size-invariant video deepfake detection
In this paper, we present MINTIME, a video deepfake detection method that effectively
captures spatial and temporal inconsistencies in videos that depict multiple individuals and …
captures spatial and temporal inconsistencies in videos that depict multiple individuals and …
Deepfake detection and the impact of limited computing capabilities
P Cantero-Arjona, A Sánchez-Macián - arxiv preprint arxiv:2402.14825, 2024 - arxiv.org
The rapid development of technologies and artificial intelligence makes deepfakes an
increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of …
increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of …
MAD'22 Workshop: Multimedia AI against Disinformation
The verification of multimedia content posted online becomes increasingly challenging due
to recent advancements in synthetic media manipulation and generation. Moreover …
to recent advancements in synthetic media manipulation and generation. Moreover …
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection
Image manipulation is rapidly evolving, allowing the creation of credible content that can be
used to bend reality. Although the results of deepfake detectors are promising, deepfakes …
used to bend reality. Although the results of deepfake detectors are promising, deepfakes …
Shai-am: a machine learning platform for investment strategies
J Kwak, J Ahn, J Lee, S Park - arxiv preprint arxiv:2207.00436, 2022 - arxiv.org
The finance industry has adopted machine learning (ML) as a form of quantitative research
to support better investment decisions, yet there are several challenges often overlooked in …
to support better investment decisions, yet there are several challenges often overlooked in …
[PDF][PDF] Deepfakes und manipulierte Realitäten
M Karaboga, N Frei, M Puppis… - … für die Schweiz …, 2024 - publica-rest.fraunhofer.de
Deepfakes und manipulierte Realitäten Page 1 Murat Karaboga, Nula Frei, Manuel Puppis,
Daniel Vogler, Patric Raemy, Frank Ebbers, Greta Runge, Adrian Rauchfleisch, Gabriele de …
Daniel Vogler, Patric Raemy, Frank Ebbers, Greta Runge, Adrian Rauchfleisch, Gabriele de …
Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution
Deepfake technology is rapidly advancing, posing significant challenges to the detection of
manipulated media content. Parallel to that, some adversarial attack techniques have been …
manipulated media content. Parallel to that, some adversarial attack techniques have been …
[책][B] Deepfakes und manipulierte Realitäten: Technologiefolgenabschätzung und Handlungsempfehlungen für die Schweiz
Desinformation, Identitätsmissbrauch, Facial Reenactment, Face Morphing, Face Swap**,
Gesichtsgeneration, Full Body Puppetry, Deepfake-Audio Die Imitation von Stimmen und …
Gesichtsgeneration, Full Body Puppetry, Deepfake-Audio Die Imitation von Stimmen und …