DanyWin

7 ms·

31.
by DanyWin 3y ago
It is similar. The only difference I get is the scale and how easy it is to detect. If we imagine half the population will use OpenAI for education for instance, but there are hidden backdoors to spread misaligned information or code, then
32.
PoisonGPT: We hid a lobotomized LLM on Hugging Face to spread fake news(blog.mithrilsecurity.io)
392 points by DanyWin 3y ago|217 comments
33.
Code generation with privacy guarantees: Deploy SantaCoder with BlindBox(blog.mithrilsecurity.io)
1 points by DanyWin 3y ago|0 comments
34.
Audit of BlindAI, an Open-source AI deployment with end-to-end protection(blog.mithrilsecurity.io)
1 points by DanyWin 3y ago|0 comments
35.
HuberChat, a Chatbot trained on HubermanLab podcast (OpenAI key required)(huggingface.co)
2 points by DanyWin 3y ago|0 comments
36.
by DanyWin 4y ago
The project is not far from there, we are only weeks away before release. BlindAI has been around for almost two years and is open source. We are improving on it with recent hardware and AI models, but this is not just communication stunt.
37.
by DanyWin 4y ago
We should support Nvidia H100 Confidential GPUs once this option is available on Cloud Providers
38.
by DanyWin 4y ago
The client side SDK we provide manage the security for you. As the client side is open-source, as well as the server you can verify the claims I will make. In those simple lines of code we: - The enclave uses primitives from AWS that we can
39.
by DanyWin 4y ago
Yes there will be. We are going to launch it soon, we just had to finish some work with the recent security audit. We have a live example of providing a GPT model inside a secure enclave here: https://huggingface.co/spaces&#
40.
by DanyWin 4y ago
To me OpenChatKit is just a first step towards better and better open-source models. Other actors like AWS and Hugging Face are also working on that and Hugging Face has already proved its ability to train and make available LLMs on a huge
41.
by DanyWin 4y ago
I agree. But there are hardware based solutions called secure enclaves that enables software companies hosted on AWS (like us) to serve a SaaS to users without technically seeing the data. This can be verified remotely even before sending d
42.
by DanyWin 4y ago
The thing is that what they say on the homepage has to be trusted and cannot be verified. At best they put contractual commitments but no one will know what happens behind the scenes. With attestation of secure enclaves ( https://
43.
by DanyWin 4y ago
I see your point. We have been creating content to democratize Confidential Computing, which is a field leveraging hardware-based (instead of software based like Homomorphic encryption) solutions to protect data in use. I have a video from
44.
by DanyWin 4y ago
Thank you for your input! We are not using homomorphic encryption as it would be too slow. We are working on hosting OpenChatKit inside a secure enclave that benefits from hardware isolation to protect data while it is in clear for the appl
45.
BlindAI API: An open-source and privacy-first OpenAI alternative(mithrilsecurity.io)
100 points by DanyWin 4y ago|42 comments
46.
Poll: What is your favorite Cloud for AI deployment?(old.reddit.com)
2 points by DanyWin 4y ago|0 comments
47.
BastionLab: A privacy-by-design DataFrame library(github.com)
4 points by DanyWin 4y ago|0 comments
48.
Jupyter Notebooks Are Not Made for Sensitive Data Science Collaboration(blog.mithrilsecurity.io)
3 points by DanyWin 4y ago|0 comments