I have played in online and offline CS and Overwatch tournaments. My team won prizes. We had a wonderful anti-cheat measure: reputation and respect.
NH NL. Wanna hang out?
I have played in online and offline CS and Overwatch tournaments. My team won prizes. We had a wonderful anti-cheat measure: reputation and respect.
This software will not solve the problem - and is probably not even meant to. The company is likely harvesting data to abuse users or sell it.
No extent of privacy invasion will solve cheating. I have made - as a fun university project - demo cheats that do not even need to run on the same computer as the game. They give significant competitive advantage, and detection systems give too many false-positives to even begin to counter these.
There’s some wisdom in the old soviet anecdote
There’s freedom of speech in the USSR: In the USA, you can stand in front of the White House in Washington, DC, and yell, “Down with Ronald Reagan,” and you will not be punished. Equally, you can also stand in Red Square in Moscow and yell, “Down with Ronald Reagan,” and you will not be punished.
The Internet is still mostly connected, the law enforcement is not as much. Many businesses exist only because of this. You are free to host (produce, store, distribute) your content where it is legal and access it from where it is not. Access to foreign resources may eventually be outlawed or the access itself restricted. This is already the case in EU, Russia, China, etc. - but for now Internet is mostly connected.
the whole Internet
It will not affect the whole Internet. American-centered English-speaking “Internet” yes, but there’s lots and lots of infrastructure and content elsewhere. Many Chinese-, Japanese-, Russian-, and German-centric resources exist almost independently from the rest of the world. Some of them are free to completely ignore the “bad internet bills”, copyright, IP, GDPR, and any other regulation you can think of.
The article was published 3 days after the arxiv release. How is this an “exclusive preview”?
Successfully tricking existing models by a few crafted samples doesn’t seem like a significant achievement. Can someone highlight what exactly is interesting here? Anything that can’t be resolved by routine adjustments to loss/evaluation functions?