Differential-Privacy-Guide
isp-data-pollution
| Differential-Privacy-Guide | isp-data-pollution | |
|---|---|---|
| 1 | 2 | |
| 14 | 590 | |
| - | - | |
| 2.6 | 0.0 | |
| over 2 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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Differential-Privacy-Guide
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?
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 inexpensive 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.