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Disinformation on the internet is global — that's the fundamental challenge with stopping it.
This is how Avast collects a stream of potential false detections and swiftly reacts to them
With this approach, we've introduced an additional layer of threat analysis explainability, which helps increase the protection that we provide to our users
Avast researchers use a general feature-blind learning framework for fast detection of novel malware based on diverse data sources
Breaking down the importance of explainability in machine learning
New research from Avast and Czech Technical University applies automated feature extraction to machine learning to automate data processing pipelines
Abby Miller
Adolf Streda and Jakub Kaloc
Adolf Streda & Jan Sirmer
Agathe Neulet
Albert Soriano Grande
Alena Nohová
Alexej Savčin
Alison Johansen
Allan Thomson
Andre Munhoz Pinto
Andy Tobin
Armin Wasicek