Differential-Privacy-Guide vs isp-data-pollution

Differential-Privacy-Guide

Differential Privacy Guide (by mikeroyal)

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isp-data-pollution

ISP Data Pollution to Protect Private Browsing History with Obfuscation (by essandess)

Web Crawling Data Obfuscation privacy-enhancing-technologies data-analytics Privacy

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Differential-Privacy-Guide		isp-data-pollution
	Project
1	Mentions	2
13	Stars	566
-	Growth	-
2.6	Activity	0.0
over 2 years ago	Latest Commit	about 1 year ago
Python	Language	Python
-	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Differential-Privacy-Guide

Posts with mentions or reviews of Differential-Privacy-Guide. We have used some of these posts to build our list of alternatives and similar projects.

Useful Tools and Programs list for Differential Privacy
1 project | /r/differentialprivacy | 20 Mar 2022

isp-data-pollution

Posts with mentions or reviews of isp-data-pollution. We have used some of these posts to build our list of alternatives and similar projects.

A browser extension that sends periodical random search requests, from a large distributed list, to confuse the data broker industry.
1 project | /r/CrazyIdeas | 12 Apr 2022

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/
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
1 project | /r/YouShouldKnow | 31 May 2021

Here’s one such project tackling this: https://github.com/essandess/isp-data-pollution/

What are some alternatives?

When comparing Differential-Privacy-Guide and isp-data-pollution you can also consider the following projects:

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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.

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

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.

ReTube - ReImagine Tubing

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)

privacy - Library for training machine learning models with privacy for training 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.