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**Balancing Privacy and Security with an Anti-Fraud Safelist**
**Background**
Today’s fraud controls are a societal good and a necessary part of our global economy. At the same time, internet us…
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The Google login `login_with_google` fails because of Google's fraud detection, ending on this page
![Selection_091](https://user-images.githubusercontent.com/1134034/65353440-ffd6de00-dba1-11e9-90…
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Hello, I am experiencing an issue with Nekogram and Telegram Abuse/Fraud detection. Right now, my account is banned whatever I create my account using Nekogram Client. Although, I pretty sure that the…
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I don't know why this is happening but in your implementation as well as pyod's implementations the training time(fit or run_loci) take too much time and memory for 10,000X30 data, please try to run …
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We currently translate aggregations over recent periods of time (i.e. `WHERE timestamp > now() - X`) to sliding time windows. Those produce records at step-size which is a percentage of X by default.
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We need to have a new feature built on the existing codebase.
From all the scraped tweet data, we have to come up with some "analysis feature" to analyze:
- sentiment analysis of the tweet topic
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Chapter 3 Credit Card Fraud Detection-pandas + sklearn + pytorch.ipynb , cell 10
````
from sklearn.externals import joblib
ImportError: cannot import name 'joblib'
````
It seems now it reco…
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Google Ad Traffic Quality team and The Privacy Sandbox Anti-Fraud team would like to present our proposal "Cross-Partition Cookie Age Signal for Abuse Detection" (https://github.com/antifraudcg/propos…
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We provide fraud detection/prevention for our clients as a third party. We rely heavily on having full accessibility to the originating IP address to evaluate the risk of a respondent. We perform ma…
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It would be great if it was possible to manually arrange the layout - sometimes it is very crowded. Perhaps by simple moving selected nodes when dragging on top of them instead of translating the view…