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[HTML][HTML] Deepfake attacks: Generation, detection, datasets, challenges, and research directions
Recent years have seen a substantial increase in interest in deepfakes, a fast-develo**
field at the nexus of artificial intelligence and multimedia. These artificial media creations …
field at the nexus of artificial intelligence and multimedia. These artificial media creations …
Implicit identity driven deepfake face swap** detection
In this paper, we consider the face swap** detection from the perspective of face identity.
Face swap** aims to replace the target face with the source face and generate the fake …
Face swap** aims to replace the target face with the source face and generate the fake …
F2Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection
In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …
performance, but they are still struggling with generalization and robustness. In this work, we …
Masked relation learning for deepfake detection
DeepFake detection aims to differentiate falsified faces from real ones. Most approaches
formulate it as a binary classification problem by solely mining the local artifacts and …
formulate it as a binary classification problem by solely mining the local artifacts and …
Avff: Audio-visual feature fusion for video deepfake detection
With the rapid growth in deepfake video content we require improved and generalizable
methods to detect them. Most existing detection methods either use uni-modal cues or rely …
methods to detect them. Most existing detection methods either use uni-modal cues or rely …
Locate and verify: A two-stream network for improved deepfake detection
Deepfake has taken the world by storm, triggering a trust crisis. Current deepfake detection
methods are typically inadequate in generalizability, with a tendency to overfit to image …
methods are typically inadequate in generalizability, with a tendency to overfit to image …
Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detection
With the continuous development of generative models on face generation, how to
distinguish the real and fake face has become an important problem for security. Because of …
distinguish the real and fake face has become an important problem for security. Because of …
Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection
Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
Controllable guide-space for generalizable face forgery detection
Recent studies on face forgery detection have shown satisfactory performance for methods
involved in training datasets, but are not ideal enough for unknown domains. This motivates …
involved in training datasets, but are not ideal enough for unknown domains. This motivates …
Autosplice: A text-prompt manipulated image dataset for media forensics
Recent advancements in language-image models have led to the development of highly
realistic images that can be generated from textual descriptions. However, the increased …
realistic images that can be generated from textual descriptions. However, the increased …