Genann
OpenSSL
Genann | OpenSSL | |
---|---|---|
7 | 150 | |
1,905 | 24,254 | |
- | 1.1% | |
0.0 | 9.9 | |
8 months ago | 3 days ago | |
C | C | |
zlib License | Apache License 2.0 |
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.
Genann
- Simple neural network library in ANSI C
- Genann: Simple neural network library in ANSI C
- Machine learning Library in C?
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Ask HN: What ML platform are you using?
> I am very much a beginner in the space of machine learning
While the (precious and useful) advice around seem to cover mostly the bigger infrastructures, please note that
you can effectively do an important slice of machine learning work (study, personal research) with just a battery-efficiency-level CPU (not GPU), in the order of minutes, on a battery. That comes before going to "Big Data".
And there are lightweight tools: I am current enamoured with Genann («minimal, well-tested open-source library implementing feedfordward artificial neural networks (ANN) in C»), a single C file of 400 lines compiling to a 40kb object, yet well sufficient to solve a number of the problems you may meet.
https://codeplea.com/genann // https://github.com/codeplea/genann
After all, is it a good idea to have tools that automate process optimization while you are learning the deal? Only partially. You should build - in general and even metaphorically - the legitimacy of your Python ops on a good C ground.
And: note that you can also build ANNs in R (and other math or stats environments). If needed or comfortable...
Also note - reminder - that the MIT lessons of Prof. Patrick Winston for the Artificial Intelligence course (classical AI with a few lessons on ANNs) are freely available. That covers the grounds relative to climb into the newer techniques.
- Small tensor library in C99
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C Deep
Genann - Simple ANN in C89, without additional dependencies. Zlib
OpenSSL
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RVM Ruby 2.6.0 — built with custom openssl version on Ubuntu 22.04
ENV OPENSSL_PREFIX=/opt/openssl ENV SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt WORKDIR /tmp RUN git clone --branch OpenSSL_1_0_2n https://github.com/openssl/openssl.git RUN cd openssl RUN ./config shared --prefix=$OPENSSL_PREFIX --openssldir=$OPENSSL_PREFIX/ssl RUN make RUN make install RUN rvm install 2.6.0 -C --with-openssl-dir=$OPENSSL_PREFIX ENV PATH /usr/local/rvm/bin:$PATH RUN rvm --default use ruby-2.6.0 ENV PATH /usr/local/rvm/bin:/usr/local/rvm/rubies/ruby-2.6.0/bin:$PATH ENV GEM_HOME /usr/local/rvm/rubies/ruby-2.6.0/lib/ruby/gems/2.6.0
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Heartbleed and XZ Backdoor Learnings: Open Source Infrastructure Can Be Improved Efficiently With Moderate Funding
Today, April 7th, 2024, marks the 10-year anniversary since CVE-2014-0160 was published. This security vulnerability known as "Heartbleed" was a flaw in the OpenSSL cryptography software, the most popular option to implement Transport Layer Security (TLS). In more layman's terms, if you type https:// in your browser address bar, chances are high that you are interacting with OpenSSL.
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Ask HN: How does the xz backdoor replace RSA_public_decrypt?
At this point I pretty much understand the entire process on how the xz backdoor came to be: its execution stages, extraction from binary "test" files etc. But one thing puzzles me: how can the ifunc mechanism be used to replace something like RSA_public_decrypt? Granted this probably stems from my lack of understanding of ifunc, but I was under the impression that in order for the ifunc mechanism to work in your code, you have to explicitly mark specific function with multiple implementations with __attribute__ ((ifunc ("the_resolver_function"))). Looking at the source code of the RSA function in question, ifunc attribute isn't present:
https://github.com/openssl/openssl/blob/master/crypto/rsa/rsa_crpt.c#L51
So how does the backdoor actually replace the call? Does this means that the ifunc mechanism can be used to override pretty much anything on the system?
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Use of HTTPS Resource Records
OpenSSL and Go crypt/tls has no support yet, so none of the webservers that depend on them support it. Apache, Nginx, and Caddy, they all need upstream ECH support first.
- https://github.com/openssl/openssl/issues/7482
- https://github.com/openssl/openssl/pull/22938
- https://github.com/golang/go/issues/63369
- openssl-3.2.0 released
- Large performance degradation in OpenSSL 3
- OpenSSL 3.2 Alpha 2
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Encrypted Client Hello – the last puzzle piece to privacy
If I'm understanding the draft correctly, I think the webserver you're hosting your sites on would need it implemented as it requires private keys and ECH configuration. In the example of nginx since it uses openssl, openssl would need to implement it. I found an issue on their Github but it's still open: https://github.com/openssl/openssl/issues/7482
- eBPF Practical Tutorial: Capturing SSL/TLS Plain Text Data Using uprobe
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OpenSSL Versions... whats the plan here
I confirmed that the systm was on 1.1.1f with openssl version command. Hmm...... I check the openssl version in the repo with apt list... LOL package names wernt helpful. finally went to the repo pages and found that its still on 1.1.1f, https://launchpad.net/ubuntu/+source/openssl. Meenwhile I looked up the version history on https://www.openssl.org/ and saw that 1.1.1v was released at the beginning of this month... ok. I can understand it it was out less then 30 days. I looked up when f came out, end of MARCH 2020. NEARLY 3-1/2 YEARS
What are some alternatives?
tiny-cnn - header only, dependency-free deep learning framework in C++14
GnuTLS - GnuTLS
Recast/Detour - Industry-standard navigation-mesh toolset for games
Crypto++ - free C++ class library of cryptographic schemes
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
mbedTLS - An open source, portable, easy to use, readable and flexible TLS library, and reference implementation of the PSA Cryptography API. Releases are on a varying cadence, typically around 3 - 6 months between releases.
tensorflow - An Open Source Machine Learning Framework for Everyone
libsodium - A modern, portable, easy to use crypto library.
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
LibreSSL - LibreSSL Portable itself. This includes the build scaffold and compatibility layer that builds portable LibreSSL from the OpenBSD source code. Pull requests or patches sent to [email protected] are welcome.
BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
cfssl - CFSSL: Cloudflare's PKI and TLS toolkit