Openwashing, Proprietary Software, and Microsoft Malware
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Google is making its internal video-blurring privacy tool open source | Engadget [Ed: Openwashing stunt by mass surveillance company. Of course Google is also outsourcing this code to proprietary prison of Microsoft.]
Google has announced that two of its latest privacy-enhancing technologies (PETs), including one that blurs objects in a video, will be provided to anyone for free via open source. The new tools are part of Google's Protected Computing initiative designed to transform "how, when and where data is processed to technically ensure its privacy and safety," the company said.
The first is an internal project called Magritte, now out on Github, which uses machine learning to detect objects and apply a blur as soon as they appear on screen. It can disguise arbitrary objects like license plates, tattoos and more. "This code is especially useful for video journalists who want to provide increased privacy assurances," Google wrote in the blog. "By using this open-source code, videographers can save time in blurring objects from a video, while knowing that the underlying ML algorithm can perform detection across a video with high-accuracy."
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Google Open Sources Magritte Image-Blurring Tool
The second tool lets developers “perform computations on encrypted data without being able to access personally identifiable information,” Dent says.
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Commercial LTS Qt 5.15.12 Released [Ed: Proprietary is what they mean, not "Commercial"]
We have released Qt 5.15.12 LTS for commercial license holders today. As a patch release, Qt 5.15.12 does not add any new functionality but provides bug fixes and other improvements.
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2022 sees over 5000 times new Windows malware vs macOS, over 60 times vs Linux - Neowin
As the year comes to a close, AV-TEST, one of the major anti-malware solutions assessment firms, alongside AV-Comparatives, has shared some interesting statistics regarding malware growth in 2022. The data shows there were close to 70 million new malware samples on Windows, which dwarfs that on macOS, which only saw around 12,000 samples. Hence, the number of malicious files on Windows is over 5,000 times compared to that on mac. The comparison with Linux is far more favorable for Windows as close to 2 million samples were captured on Linux. However, the Windows numbers are still more than 60 times higher.