Or attribute-based credentials. Basically, you're challenged and get a one-time, challenger-specific credential for exactly the requested attribute(s) from a credential provider. Eg. government (municipality, province, national) can become a credential provider.
Exactly. Yivi isn’t new having been renamed from IRMA (https://privacybydesign.foundation/en/). Nevertheless, adoption outside the Netherlands remains almost non-existent.
Except for the additional download requirement for a user, the friction is pretty low once it’s setup and you have created some attributes.
The project would benefit from a rebranding review, standardization, an enterprise-capable infrastructure to promote and support alternative service providers, and a review of clients. The current Yivi mobile app hasn’t changed much over the years and when I last used it I still needed a PIN instead Face ID.
Errr... that word implies some type of non-deterministic effect. Like using a randomizer without specifying the seed (ie. sampling from a distribution). I mean, stuff like NFAs (non-deterministic finite automata) isn't magic.
> A lot of these "security bugs" are not really "security bugs" in the first place. Denial of service ...
Ackshually...
Security is typically(*) classified as CIA: Confidentiality, Integrity and Availability. Denial of Service is an attack against Availability... so yeah, that kind of is inherently a security bug.
That was my takeaway as well. The weird thing is: since it's someone else doing the initial publication, their omission of copyright credits is costing the artist their copyright. That's... unexpected. I don't know how things worked back then in book art, but if the artist wasn't contracted as work-for-hire, protecting their copyright ought to become the burden of those who actually made the art public. I don't know if this argument was put forth in appeals, but ruling+motivation on this point from the appeals committees are absent from the story.
Sounds like you could accidentally make someone else's art public domain by forgetting to include them on the copyright page...
edit well, perhaps that's part of the reason the copyright laws were updated.
Perhaps, but unless one of them is Walt Disney, I've never heard of them - therefore their fame does not impact my valuation of their work. I can see myself spend 50 bucks on a (to me) unknown piece of art because it is pretty. Spending more would require an additional connection - fame of artist, depicts something dear to me, seems like a good investment, etc. etc... only being pretty isn't enough.
No, because he painted something that I find pleasant to look at and consider it worth money. The price is higher because of the artist's fame, that much is true - but that is always the case with art.
I mean, you're basically arguing about taste... Bob Ross was a lot more famous than most other artists, not in the least because many people liked what he produced.
He was more famous because he appeared on TV, and transfered/the joy of painting, not because of his paintings. They were unremarkable to say the least.
A lot of people are trying to make a living painting landscapes with the same painting for dummies style that Ross used (not invented). It seems counterproductive to give money to speculators for an unremarkable painting of a dead man when you can spend a fraction of that to buy a similar decorative painting and contribute to the income of someone who actually worked and spent time on it.
The thing is: I'm not looking for an unremarkable painting. I sincerely am not interested in one. So spending my money that way would be counterproductive.
Related: if you feel this style of painting is so unremarkable, why are you advocating for others to support knock-offs?
To use an analogy: I have zero interest in buying a Louis Vuitton handbag - but my interest in buying one of the far cheaper knockoffs you can get at touristy places from shady peddlers is a lot lower than that.
Bob Ross was known in my country (in Europe) due to his show at the time. Not quite universally, but probably closer to a household name than any other living painter was at the time. Dunno how it was in other countries in Europe, but still. The man was relatively well known for paintings, paintings that were regarded well by the general audience (experts: dunno).
So while maybe he couldn't be selling his paintings for 1000s to the decently-off, there clearly was ample demand. If he truly wanted to make a boatload, he easily could have.
Related: the treasure trove could easily be sold 1 painting at a time. Just don't make it regular - not once a year, but sometimes 2 in 2 months, and then 5 years nothing. That really wouldn't spurs the value that much, if at all.
> 2. Two people who are identical except for their nationality face the same probability of a false positive.
That seems to fall afoul of the Base Rate Fallacy. Eg, consider 2 groups of 10,000 people and testing on A vs B. First group has 9,999 A and 1 B, second has 1 A and 9,999 B. Unless you make your test blatantly ineffective, you're going to have different false positive rates -- irrespectiveof the test's performance.
The linked article already notes that model accuracy degraded after their reweighting, ultimately contributing to their abandonment of the project. (For completeness, they could also have considered nationality in the opposite direction, improving accuracy vs. nominally blind baseline at the cost of yet more disparate false positives; but that's so politically unacceptable that it's not even mentioned.)
My point is that even if we're willing to trade accuracy for "fairness", it's not possible for any classifier to satisfy both those definitions of fairness. By returning to human judgment they've obfuscated that problem but not solved it.
My point was that there is no test (or classifier) that can always guarantee that one definition of fairness by itself, irrespective of the base rate. If the classifier acts the same independent of base rate, there are always base rates (ie occurrence rates in the rates population) for which the classifier will fail the given definition.
That illustrates that the given definition cannot hold universally, irrespective of what classifier you dream up. Unless your classifier is not independent from the base rate - that is, a classifier that gets more lenient if there's more fraud in the group. That seems undesirable when considering fairness as a goal.
> Unless your classifier is not independent from the base rate - that is, a classifier that gets more lenient if there's more fraud in the group.
If I understand correctly, that was the purpose of their "reweighting". To remove "bias" from their new model, they looked at the aggregate false positive rates by nationality, then applied explicit penalty to people with Western nationality to bring that FPR equal to non-Western.
I'd certainly agree that's undesirable, and my point was also to highlight that (since the article was reasonably clear on the type of fairness they achieved, but much less clear on the fairness they sacrificed).
Eg. Yivy: https://docs.yivi.app/technical-overview/