privaxy
concrete-ml
| privaxy | concrete-ml | |
|---|---|---|
| 27 | 8 | |
| 2,162 | 779 | |
| - | 5.3% | |
| -34.1 | 9.7 | |
| 10 months ago | 7 days ago | |
| Rust | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
privaxy
- Google resumes transition to Manifest V3 for Chrome extensions
- FLaNK Stack Weekly 5 September 2023
- Privaxy: Next generation tracker and advertisement blocker
-
Block YouTube Ads on AppleTV by Decrypting and Stripping Ads from Profobuf
(With thanks to your grandchild) https://github.com/barre/privaxy seems definitely worth a look - thanks!
- Alphabet Announces Second Quarter 2023 Results [pdf]
-
Privaxy : The next generation tracker and advertisement blocker. It blocks ads and trackers by MITMing HTTP(s) traffic.
Here's the Github repo link
- YouTube Ads & Similar Ads can now be blocked at network level with Privaxy
- GitHub - Barre/privaxy: Privaxy is the next generation tracker and advertisement blocker. It blocks ads and trackers by MITMing HTTP(s) traffic.
- Privaxy: Opensource, extension-less adblocker, manifest v3 resistant
concrete-ml
- Show HN: Logistic Regression Training on Encrypted Data with FHE
- Training ML Models on Encrypted Data with Homomorphic Encryption (FHE)
- FLaNK Stack Weekly 5 September 2023
-
Concrete: A fully homomorphic encryption compiler
If you just want to dive right in, this example from Concrete ML's repository is very clear:
https://github.com/zama-ai/concrete-ml#a-simple-concrete-ml-...
-
Instead of banning ChatGPT for its potential data theft, why don't we use advanced encryption techniques (for example, Homomorphic encryption) to secure our data?
As for ease of use, you should take a look at Concrete. It turns high level python code into FHE equivalents without developers having to know cryptography: https://github.com/zama-ai/concrete-ml
- Concrete ML: transform machine learning models into a homomorphic equivalent
-
Zama Open-Sources Concrete ML v0.2 To Support Data Scientists Without Any Prior Cryptography Knowledge To Automatically Turn Classical Machine Learning (ML) Models Into Their FHE Equivalent
Github: https://github.com/zama-ai/concrete-ml
-
[P] XGboost, sklearn and others running over encrypted data
Hello everyone! Following this post [numpy over encrypted numpy in fhe we are releasing a new lib that allows popular machine learning frameworks to run over encrypted data: https://github.com/zama-ai/concrete-ml
What are some alternatives?
adblock2privoxy - Convert adblock config files to privoxy format
concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.
hblock - Improve your security and privacy by blocking ads, tracking and malware domains.
yolov7-object-tracking - YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
sozu - Sōzu HTTP reverse proxy, configurable at runtime, fast and safe, built in Rust. It is awesome!
puck - The visual editor for React
Pi-hole - A black hole for Internet advertisements
concrete - Concrete: TFHE Compiler that converts python programs into FHE equivalent
abracabra - Eventually a search engine, but currently a filtering pipeline for HTML and soon WARC files.
openaidemo - Demo of how access the OpenAI API using Java 17
WindowsSpyBlocker - Block spying and tracking on Windows
paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.