On Thu, Jan 20, 2011 at 5:12 PM, chung <chvng at mail.ntua.gr> wrote:
>   Dear All,
>      After a meeting we had today with Nina, Martin and Andreas M. we
>   arrived to a first approach to the use case of model validation against
>   confidential data. The proposal is attached and seems to be a good
>   basis for a first implementation. This will
>   Best Regards,
>   Pantelis


Hello All,

I just had a discussion with Andreas K. on validation against
confidential data, and he was a bit concerned about our use case. So
before proceeding, I would like to outline two use cases and would
like to here what people think. The first one might be the most
obvious use case that we have to get done:

USE CASE
* User has confidential data. He wants to use this data within the
framework for building models (or use existing models), making predictions,
and validation without letting someone else see the data.

Implementation within the framework:
* Get the services working together, and get A&A up and running.
* For paranoid users: install all services locally on your computer.

The second use case is the one Nina, Pantelis and I were working on yesterday:

USE CASE
* User wants to perform a validation on someone elses confidential
data. He has no access to the actual data, but should be able to
initialize a validation. He gets the validation results/report
returned, not the predictions of the model/s that were used. The owner
of the confidential data has to grant access to the data for
validation purposes (to certain users) beforehand.

Implementation within the framework:
* See summary from Pantelis last email

I think we had a good discussion with nice ideas on how to solve this.
My question is, do people think that the second use case is realistic
and should be implemented?

Best regards,
Martin




>   PS. doc file also attached for backwards compatibility with deprecated
>   software.
>
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-- 
Dipl-Inf. Martin Gütlein
Phone:
+49 (0)761 203 8442 (office)
+49 (0)177 623 9499 (mobile)
Email:
guetlein at informatik.uni-freiburg.de