isp-data-pollution
Differential-Privacy-Guide
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| isp-data-pollution | Differential-Privacy-Guide | |
|---|---|---|
| 2 | 1 | |
| 566 | 13 | |
| - | - | |
| 0.0 | 2.6 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| MIT License | - |
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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/
Differential-Privacy-Guide
What are some alternatives?
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.
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
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.
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)
ReTube - ReImagine Tubing
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.
privacy - Library for training machine learning models with privacy for training data