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Differential-privacy Alternatives
Similar projects and alternatives to differential-privacy
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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keepassxc
KeePassXC is a cross-platform community-driven port of the Windows application “Keepass Password Safe”.
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tf2-published-models
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better differential-privacy alternative or higher similarity.
differential-privacy reviews and mentions
Posts with mentions or reviews of differential-privacy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-17.
- Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy
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Google releases differential privacy pipeline for Python
An example is probably easier :) I quote here the description of the Google's differential privacy example:
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Google AI Releases A New Differentially Private Clustering Algorithm
GitHub: https://github.com/google/differential-privacy/tree/main/learning/clustering
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Wehe – Check Your ISP for Net Neutrality Violations
Maybe it is not so radical. The original, pre-web internet was not client-server. Each end of the connection potentially had something the other wanted. IMO, that's a truer representation of the real world. Today's internet is entirely web and mobile app centric, as if the world is nothing more than a feedlot, with only a small number of large scale "farmers".
https://github.com/google/differential-privacy/blob/main/exa...
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Practical Differential Privacy w/ Apache Beam
One of the most durable techniques to protect user privacy is through differential privacy. In a previous post, we explored how to build an Apache Beam pipeline that extracted and counted ngrams from HackerNews comments. Today, we'll take the same pipeline and upgrade it with some differential privacy goodness using Privacy-on-Beam from Google's differential privacy library.
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A note from our sponsor - InfluxDB
www.influxdata.com | 4 May 2024
Stats
Basic differential-privacy repo stats
5
2,980
1.5
10 days ago
google/differential-privacy is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of differential-privacy is Go.
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