maximeago

7 ms·

1.
by maximeago 2mo ago
I remember that it was a lot easier if I had 10 instances of Winamp running at the same time, it was not just that time slowed, the physics was different. Was this ported?
2.
by maximeago 2y ago
Nice way to make differential privacy approachable to everyone with open source. Was it peer-reviewed?
3.
by maximeago 4y ago
Yes, Sarus is on https://www.linkedin.com/company/sarus-technologies , feel free to follow us or add the founders directly.
4.
by maximeago 4y ago
Privitar and Leapyear are indeed part of competition on the more mature side of the spectrum. Even if all three of us use differential privacy, I would say that each company's core value prop is a bit different: - Sarus: replaces the m
5.
by maximeago 5y ago
That's a great suggestion actually! We'll definitely work on it and thanks for your help.
6.
by maximeago 5y ago
You're correct, Sarus never sees the data. The software runs directly on the data infrastructure of the client. It's typically deployed on the public cloud for instance. And here, of course, differential privacy only guarantees th
7.
by maximeago 5y ago
No, we don't do federated learning at Sarus today. We operate in the trusted curator model: a party has a centralized database and lets external practitioner leverage it. This is the most common setup in the industry (think hospitals,
8.
by maximeago 5y ago
If the model training is designed to profile just one user, no, the model won't work by design. What you describe is an attack on the privacy of that user and we do want to make sure they fail. The way differential privacy works with m
9.
by maximeago 5y ago
This person just joined last month! ;)
10.
by maximeago 5y ago
Thanks for catching it! will fix it.
11.
by maximeago 5y ago
Yes, there are many parallels with Duets we can look at Sarus as a productized version of it. There are some differences though: - we designed for the trusted curator model where Duet is mostly for federated learning tasks in mind - the pri
12.
by maximeago 5y ago
Thanks! Our goal is that no matter what preprocessing function they pass, the only end up accessing outputs that comply with the privacy policies. The code gets access to the real data but it is shielded from the vendor who can only see pro
13.
by maximeago 5y ago
We developed our own generative model for synthetic data generation. It is an autoregressive model where each variable/attribute is derived from previously generated ones using Transformers networks (more details there: https:/&#
14.
by maximeago 5y ago
The product solves the problem of the time it takes to access sensitive data for analytics and machine learning. When you work in a large healthcare or financial organization, each dataset is highly protected. Each time a data practitioner
15.
by maximeago 5y ago
Here is how it would work in theory (not including the scalability question of working with heavy DICOM files and huge DNN). I'm assuming your data is made of records composed by an image and some information about the image or the pat
16.
by maximeago 5y ago
We developed our own generative model for synthetic data generation. It is an autoregressive model where each variable is derived from previously generated ones using Transformers networks. If you are interested, you have more details in:
17.
by maximeago 5y ago
1. Sarus works on data that is organized in records. The intuition is that one record should not transpire in the results (hence protecting their privacy) but studying all records conjointly should be possible. It may be flat files, parquet
18.
by maximeago 5y ago
No, we do not. Pysyft was mostly first designed to do federated learning. Sarus targets organizations that have their data in one central repository in a trusted curator model. It lets external data practitioners query that data with all so
19.
by maximeago 5y ago
Sarus is designed for all data use cases, provided that access to a given user's information is not the objective. This is the case for all of BI, analytics, or machine learning. It also works for testing or debugging, building APIs, e
20.
by maximeago 5y ago
The API is designed to be hosted by our clients so that the software runs directly on their data infrastructure and no sensitive data leaves their systems. In this demo, it is obviously hosted by us. A big innovation is that, with Sarus, th
21.
by maximeago 5y ago
Yes, this is a very rich resource. Thx
22.
by maximeago 5y ago
You can use Google SSO without a token. If you don't have a Google account, can you contact us with the contact form? we'll send you a token.
23.
by maximeago 5y ago
The first link is the corporate website, it may not include all the product details you expected, sorry about that. You should get a lot more details on how it works if you try the tutorial and play with it yourself. This is at the bottom o
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Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy
136 points by maximeago 5y ago|49 comments