AI Deepfake DetectionTechniques
This is a news story, published by MSN, that relates primarily to Binghamton University news.
News about Ai research
For more Ai research news, you can click here:
more Ai research newsMSN news
For more news from MSN, you can click here:
more news from MSNAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
deepfake images. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest different AI image generators news, Generative Adversarial Networks Image Authentication news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
AI imagesTechXplore
•New tools use AI 'fingerprints' to detect altered photos, videos
87% Informative
New research led by Binghamton University , State University of New York breaks down images using frequency domain analysis techniques.
Researchers spot anomalies (known as artifacts) because of the way the AI generates the phonies.
The approach could be effective in the fight against misinformation and digital fraud in our increasingly connected world.
VR Score
91
Informative language
92
Neutral language
49
Article tone
formal
Language
English
Language complexity
73
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
4
Source diversity
4
Affiliate links
no affiliate links