mlm

8 ms·

1.
by mlm 6y ago
Notion | Software Engineers (Full stack, Backend/Infra, Mobile; all experience levels) | San Francisco, CA | Onsite Notion's goal is to create the general purpose work tool for a post-file, post-Microsoft Office world. Tools for k
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by mlm 7y ago
This looks great, but it's also focused on people—what happens when more and more support is done via AI?
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by mlm 8y ago
I’m sorry that you had this experience. We vehemently agree that any one signal (such as IP address or use of a proxy) is a pretty poor predictor of fraud in isolation. We are trying to move the industry towards holistic evaluation rather t
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by mlm 8y ago
In short, no. A little more color: Stripe’s incentives are aligned with those of our users in that we want to let through as many legitimate customers as possible. We keep a very close eye on false positives. Our machine learning models exa
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by mlm 8y ago
We’ve been working on Radar, and releasing updates and improvements, continuously since we first launched. What we’re announcing today is (1) a completely revamped machine learning system (which we couldn’t release in pieces—we needed to fi
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by mlm 8y ago
The rough idea is that you look at all the decisions made by the fraud model (sample 1 is fraud, sample 2 is not fraud) and the world of possible "predicates" ("feature 1 > x1", "feature 1 > x2", ..., &qu
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by mlm 8y ago
We're working on it!
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by mlm 8y ago
We’re really sorry that you ran into this. There are a couple things we can help you with: - We give users the ability to disable the default rules and mark transactions as safe if you write in to support@stripe.com (so in the example you g
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by mlm 8y ago
For any fraud detection scheme (or any binary classification scheme, really) there’s a tradeoff between false positives and false negatives. The Radar 2.0 updates—particularly Radar for Fraud Teams—will help here in a few ways: - With Radar
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by mlm 8y ago
I agree that the lack of standards and baselines in the fraud detection space isn't ideal. One example: some fraud products will build models using human labels as the target to be predicted. Radar, on the other hand, tries to predict
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by mlm 8y ago
Most of our ML stack has been developed internally given the unique constraints we have for Radar. Among other things, we need to be able to - compute a huge number of features, many of which are quite complex (involving data collected from
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by mlm 8y ago
Engineering manager for Stripe Radar here. Today’s update has been almost a year in the making and we’re excited to help Stripe businesses fight fraud more effectively. Here's more on what's new: https://stripe.com&#x2F
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by mlm 8y ago
Engineering manager for Stripe Radar here. Today’s update has been almost a year in the making and we’re excited to help Stripe businesses fight fraud more effectively. Here's more on what's new: https://stripe.com&#x2F
14.
by mlm 10y ago
(I work at Stripe) We've thought about this a little, and while we'd be excited to make Radar available more broadly (i.e., even to businesses not using Stripe for payments), for now we're focusing our efforts on improving th
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by mlm 11y ago
We've been thinking about (and working on) a lot of these issues--we're definitely aware that users would like (totally reasonably!) more visibility and control. If you have any more feedback, I'd love to hear it!
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by mlm 11y ago
(I work at Stripe.) For credit card processing, automated fraud prevention does in fact come standard on all Stripe accounts and takes into account a great number of signals including some that you brought up below, like whether the locatio
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Where Are My Facebook Commenters?(blog.zillabyte.com)
10 points by mlm 12y ago|0 comments
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by mlm 12y ago
(I work at Stripe) Buyers won't have to contact Stripe directly, just as they would not contact a third-party fraud detection service directly. They'll contact businesses, who can use the dashboard or API to mark the charge as saf
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Did The TSA and JetBlue Deny Travel For Looking Muslim During Ramadan? No(boardingarea.com)
193 points by mlm 13y ago|222 comments
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Wikipedia's "American Women Novelists"(nytimes.com)
5 points by mlm 13y ago|0 comments