Work · alternatives · 2026

24 alternatives to Secure XGBoost training and inference on encrypted data

Secure collaborative training and inference for XGBoost. - mc2-project/secure-xgboost

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Secure XGBoost training and inference on encrypted data launched in 2020; newer entries below may have overtaken it.

1
MC² – Secure collaborative analytics and ML▲8
A Platform for Secure Analytics and Machine Learning - mc2-project/mc2
2021 · github.com · its alternatives →
2
Logistic Regression Training on Encrypted Data with FHE▲8
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks. - concrete-ml/docs/advanced_examples/LogisticRegressionTraining.ipynb at release/1.4.x · zama-ai/concrete-ml
2024 · github.com · its alternatives →
3
Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it▲170
We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
Jul 2026 · ctgt.ai · its alternatives →
4
Applying the Unix philosophy to neural networks▲251
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
5
Securely run SQL analytics on your encrypted data▲6
A Platform for Secure Analytics and Machine Learning - mc2-project/mc2
2021 · github.com · its alternatives →
6
Train a Convolutional Neural Nets Using Multi-Party Computation▲28
Most efforts to privately train machine-learning models either use homomorphic encryption or secure multi-party computation (MPC). Recent insights indicate…
2018 · blog.openmined.org · its alternatives →
7
FractalCrypt 2.0 – free deniable encryption cryptoarchiver▲128
Free cross-platform deniable encryption cryptoarchiver - GitHub - zorggomat/FractalCryptGUI: Free cross-platform deniable encryption cryptoarchiver
2021 · github.com · its alternatives →
8
Monostate AItraining▲59
Fine-tuning, RL, and inference in one CLI
Dec 2025 · github.com · its alternatives →
9
OpenMined - Open Source Project for Federated Deep Learning▲26
Unlock insights from data you can
2017 · openmined.org · its alternatives →
10
A general-purpose encoder-decoder framework for Tensorflow▲54
A general-purpose encoder-decoder framework for Tensorflow - google/seq2seq
2017 · github.com · its alternatives →
11
An educational Local Qwen3 LLM Inference project written in Rust▲15
An educational Rust project for exporting and running inference on Qwen3 LLM family - reinterpretcat/qwen3-rs
2025 · github.com · its alternatives →
12
Encrypted Deep Learning in PyTorch▲37
Perform data science on data that remains in someone else's server - OpenMined/PySyft
2018 · github.com · its alternatives →
13
NuFHE: A GPU implementation of fully homomorphic encryption in Python▲8
NuCypher fully homomorphic encryption (NuFHE) library implemented in Python - nucypher/nufhe
2018 · github.com · its alternatives →
14
Encrypted Deep Learning Classification with PyTorch and PySyft▲10
Update as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. Any implementations using this older version of PySyft are…
2019 · blog.openmined.org · its alternatives →
15
A subversive cryptography import disclaimer boilerplate▲9
A subversive boilerplate for cypherpunks everywhere. - StrongCryptoWarning/StrongCryptoDisclosure.md at master · tuxxy/StrongCryptoWarning
2018 · github.com · its alternatives →
16
Entropy-Guided Loop – How to make small models reason▲33
TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave…
2025 · github.com · its alternatives →
17
Secure end-to-end client sessions and API calls using crypto key pairs▲9
Hello. I made this project as an experiment in using key cryptography for user identity in a client server model, and for some future peer to peer projects that I am working on. I am looking for feedback, please let me know what you think. Also, Merry Christmas to HN! :-)
2022 · github.com · its alternatives →
18
PyBV – A Python Implementation of the BV Homomorphic Encryption Scheme▲9
DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft - iamtrask/PyBV
2017 · github.com · its alternatives →
19
Flow Matching model inference in C▲5
As the title and description of the GitHub repo suggest, I’m working on a small project for purely educational purposes, with the goal of implementing generative model inference (small models capable of modeling 2D distributions) based on the Flow Matching paradigm in C. I’ve worked on generative AI models based on Flow Matching from a more “abstract” perspective, using frameworks like PyTorch, and I wanted to understand what goes on behind the scenes. The repository is still a work in progress and is also one of my first "serious" projects in C.
Jul 2026 · github.com · its alternatives →
20
Predictive ML model on encrypted data with Fully Homomorphic Encryption▲15
Explore and run AI code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster
2022 · kaggle.com · its alternatives →
21
AES-256 brute force using structured logic (UUIDs and xy = x/y rule)▲11
I’ve been experimenting with structured logic as a way to frame search spaces — not in an academic way, just as a personal project. I wanted to know: what happens if you initialize a brute-force run with a simple equality like xy = x / y? Not as a filter, just as a logical ignition point. I used AES-256-CBC encrypted files with UUID passwords and tested against a 1 million UUID space. It cracked it in under 40 seconds. Then I scaled it to a 1 billion UUID range, and it still found the key without issue. This isn’t a crypto tool, and I’m not trying to solve any cryptographic problems.…
2025 · github.com · its alternatives →
22
Free Inference Engineer and Model Training Roadmap▲16
Free, gamified roadmaps for LLM engineering: an Inference Engineering path (KV caches, CUDA kernels, production vLLM serving) and a Model Training path (pretraining on a budget, scaling laws, SFT/DPO/GRPO) — 185 tasks with auto-verified milestones instead of a paper certificate.
Aug 2026 · inferquest.org · its alternatives →
23
Keybase Teams▲14
A fully encrypted Slack-like communications tool
2017 · keybase.io · its alternatives →
24
Open-Source Shamir Secret Sharing Library in Go▲14
A zero dependency implementation of Shamir Secret Sharing in pure Go - GitHub - openfort-xyz/shamir-secret-sharing-go: A zero dependency implementation of Shamir Secret Sharing in pure Go
2024 · github.com · its alternatives →

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