gretel-python-client
isp-data-pollution
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gretel-python-client | isp-data-pollution | |
---|---|---|
3 | 2 | |
43 | 566 | |
- | - | |
9.1 | 0.0 | |
4 days ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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gretel-python-client
isp-data-pollution
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A browser extension that sends periodical random search requests, from a large distributed list, to confuse the data broker industry.
I’ve seen multiple implementations of this idea. Here’s the first that came up in a quick search: https://github.com/essandess/isp-data-pollution/
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YSK: “Data Pollution” is a technique for polluting your search history with random searches to keep ISPs, big data companies, and governments from gathering meaningful data about you
Here’s one such project tackling this: https://github.com/essandess/isp-data-pollution/
What are some alternatives?
SDV - Synthetic data generation for tabular data
Social-Amnesia - Forget the past. Social Amnesia makes sure your social media accounts only show your posts from recent history, not from "that phase" 5 years ago.
gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
tracardi - TRACARDI is a new HOME for your customer data. TRACARDI is an Composable API-first solution for any company that need unexpensive CDP to intergrate with.
Copulas - A library to model multivariate data using copulas.
amazon-s3-find-and-forget - Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
ydata-synthetic - Synthetic data generators for tabular and time-series data
tracardi - TRACARDI is a new HOME for your customer data. TRACARDI is an API-first solution, low-code / no-code platform aimed at any e-commerce business that wants to start using user data for marketing purposes.
ReTube - ReImagine Tubing
Differential-Privacy-Guide - Differential Privacy Guide