Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @LeaKissner
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @LeaKissner
-
Prikvačeni tweet
2020 is here and so is PEPR 2020! We had a *lot* of requests to move to a standalone event that wasn't in August. So this year: May 11-12, in Santa Clara. The CFP is up, so send us your talk proposals about privacy engineering, practice, and respect.https://www.usenix.org/conference/pepr20 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lea Kissner proslijedio/la je Tweet
This is your regular reminder to people in the tech industry that the choices you make in your job matter.https://twitter.com/tomgara/status/1222897591702081537 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My answer to "what's the worst that can happen?" is "I have an *extremely* good imagination"
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This is why my coworkers have learned not to ask me "what's the worst that can happen?"https://twitter.com/xkcdComic/status/1222586305550307328 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
That's the end of
#enigma2020. Already looking forward to#enigma2021, which I'll be co-chairing with@dseabraoliveira. So get your thinking caps on, send PEPR talks to PEPR (open now!) and start thinking about awesome Enigma talks. I can't wait to see them.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: did you do any analysis on which labeling approaches work better across languages/cultures? A: I don't know offhand, I might be able to follow up
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: can you speak some more about how you balance the measurement/enforcement tradeoff? do you ever hold off on blocking to get better measurement? A: with a new problem measure-first. for more mature problems it's either working in parallel or series on measurement/enforcement
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q (again): ToS isn't very clear A: I'm not a lawyer
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q continued: Also, it seems like if a company is more transparent about the formula it would help users but would also educate the adversary. A: try to make the standards very public and in clear language We've been publishing some of these measurements for years.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: It seems like you would have a lot of data about abuse and ways to measure abuse. Someone like me would assume you'd make some guidelines and share them across multiple platforms.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A: high-level strategy is to use unsupervised learning for training to train supervised models for detection, so adversaries don't get immediate feedback. Continuous learning/retraining, up to on-line trained models that refresh hourly.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: You mentioned that you use ML to label some of this bad behaviour. Can you touch on some of the strategies you use, given that adversaries will be... adversarial and work around it?
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: when you are eliciting expert judgement how do you account for different opinions? A: the experts are people within the company and they work according to the policy made by policy team which has to take in different perspectives
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q
@estark37: when you're oversampling bad stuff to feed to raters, how do you know that you're not missing false negatives. A: there's a talk at <at>scale to point you at, but the upshot is that as long as your sample function is better than random you still get improvementPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A: There's work on automated labeling (if a computer can catch it, don't show to human), break stuff up into different parts e.g. differnet people looking at different parts of an account
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Q: you mentioned problems about scaling the human labelers, but you didn't mention the impact on people of looking at horrific things. Do you think there is any hope that this can trend downwards?
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Also validate your metrics e.g. by looking on the black market: how much does a like/comment cost? Challenge: universal adapter so I can compare different kinds of abuse and false positives/false negatives so can effectively choose what to work on.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Drive down one while measuring with the next metric. [ That is very clever ]pic.twitter.com/FDXUwMk75N
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.