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Publications associées (65)
It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons
Matthias Grossglauser, Aswin Suresh, Chi Hsuan Wu
We propose an interpretable model to score the subjective bias present in documents, based only on their textual content. Our model is trained on pairs of revisions of the same Wikipedia article, where one version is more biased than the other. Although pr ...
2024Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
Sabine Süsstrunk, Yufan Ren, Peter Arpad Grönquist, Alessio Verardo, Qingyi He
Video DeepFakes are fake media created with Deep Learning (DL) that manipulate a person’s expression or identity. Most current DeepFake detection methods analyze each frame independently, ignoring inconsistencies and unnatural movements between frames. Som ...
2024Assessment framework for deepfake detection in real-world situations
Detecting digital face manipulation in images and video has attracted extensive attention due to the potential risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been employed and ...
2024Where Did the News Come From? Detection of News Agency Releases in Historical Newspapers
Since their beginnings in the 1830s and 1840s, news agencies have played an important role in the national and international news market, aiming to deliver news as fast and as reliable as possible. While we know that newspapers have been using agency conte ...
2023United States politicians' tone became more negative with 2016 primary campaigns
Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel
There is a widespread belief that the tone of political debate in the US has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous t ...
NATURE PORTFOLIO2023Improving Deepfake Detectors against Real-world Perturbations with Amplitude-Phase Switch Augmentation
Touradj Ebrahimi, Yuhang Lu, Ruizhi Luo
In recent years, the remarkable progress in facial manipulation techniques has raised social concerns due to their potential malicious usage and has received considerable attention from both industry and academia. While current deep learning-based face for ...
2023Synthetic Disinformation Attacks on Automated Fact Verification Systems
Automated fact-checking is a needed technology to curtail the spread of online misinformation. One current framework for such solutions proposes to verify claims by retrieving supporting or refuting evidence from related textual sources. However, the reali ...
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022