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Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Fake news detection models are critical to countering disinformation but can be manipulated through adversarial attacks.
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
The advancements in the state of the art of generative Artificial Intelligence (AI) brought by diffusion models can be highly beneficial in novel contexts involving Earth observation data.
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
Summarizing, this paper firstly mathematically defines the strategies used to make Vision Transformer efficient, describes and discusses state-of-the-art methodologies, and analyzes their performances over different application scenarios.
DepthFake: a depth-based strategy for detecting Deepfake videos
Fake content has grown at an incredible rate over the past few years.
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