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I recently learned about Microsoft PhotoDNA[1]. Very interesting (and cool) technology. My understanding is that a decade or so ago a Microsoft engineer stumble
by GhettoMaestro 7y ago
I recently learned about Microsoft PhotoDNA[1]. Very interesting (and cool) technology. My understanding is that a decade or so ago a Microsoft engineer stumbled upon a law enforcement guy giving a talk about the challenges of combating child pornography with the rise of the internet, etc. The Microsoft engineer and the LEO started talking and came up with a concept of a platform where known abuse material is hashed, and automated scanning tools can be deployed in the field when suspects are detained. The net result was it saved law enforcement officers from having to view the same material again and again, and instead could determine with the certainty of a SHA1/2 hash that it is indeed abuse-related material, justifying further review/inspection.
That said, I'm not sure from a privacy perspective that I like communication apps playing the referee. Sure, its terrorism or child porno now. What about when it is political content regarding 'X' that is prohibited?
[1] https://www.microsoft.com/en-us/photodna https://www.microsoft.com/en-us/photodna
- belorn 7y agoI am rather skeptical about PhotoDNA. If it is an effectively method for video filtering then why is youtube using very expensive machine learning, which has a high maintaince and operation costs, compared to just simply hashing the video frames. There is also similar problem with spam where spammers send email with images in order to fool the spam filter. If the algorithms in PhotoDNA would be effective then the problem of spam images would be a fairly solved problems, but what I keep hearing is that the only effective tool is machine learning.
- GhettoMaestro 7y agoI think you can divide it (among many other ways) into two categories: known content, and unknown content. PhotoDNA solves the known content (hashed) problem. The other stuff you mentioned I believe is being leveraged to combat the unknown [abuse] content problem. Eg, identifying the "0-day" content.