According to https://www.scip.ch/?news.20200402 , PEPP-PT has some roots in
https://github.com/SecureTagForApproachRecognition.

TPS
https://freeupmobile.com/?refer=00166887

On Wed, Apr 1, 2020, 9:25 AM Marcus Hoffmann <[email protected]> wrote:

> Hi Nathan,
>
> I just came across this: https://www.pepp-pt.org/
>
> Which seems to be all over the news today.
> Unfortunately they don't seem to plan on providing this as a free
> software solution:
>
> >  We are establishing a partner management team to help you get going
> quickly.
> > As a partner, you will: … have access to our documentation and the
> source code of a reference implementation.
>
> Does anyone have any contacts there or a a plan on how to approach them
> with the idea of making this free software?
>
> Best,
> Marcus
>
> On 19.03.20 16:26, Nathan of Guardian wrote:
> >
> > With the previous news from China of their authoritarian surveillance
> > system being repurposed for epidemiological uses, and the US governments
> > interest in the same, I have been mulling what other approaches could be
> > taken. Those of us who care about and work in privacy-enhancing
> technology
> > do not want this pandemic to become yet another moment for an
> acceleration
> > of rights erosion on this front. Simultaneously, I understand that
> contact
> > tracing of a contagious person is key to fighting any outbreak. Also,
> that
> > being able to gain general insights into movement and distance between
> > citizens in a country can also be very helpful.
> >
> > To cut to the chase, I have some ideas, and I am hoping to find out who
> out
> > there may be advocating for or working on this problem. We need to
> provide
> > alternatives to the most obvious, least private solutions, and quick.
> >
> > To summarize my concept, Jonnie Penn and I have been working on a project
> > (Spotlight![0]) aimed at allowing unionized workers to gather data about
> > their work days, which includes very detailed geospatial data, movement
> > history and more. In my testing, I can see my movement through the
> shopping
> > isles at Trader Joe's, the hallways in my kids' school, and how long I
> > spend in my kitchen vs my home office in a typical day. All of this data
> is
> > securely stored on the user's device, until they choose to share it with
> an
> > advocate. I believe the approach we are taking to provide insights into a
> > worker's day could be helpful for public health applications, as well.
> >
> > My concept is that through use of technology like Bloom Filters[0] or
> > Google's Private Join and Compute[1], a user could compare their own
> > time+place data (essentially a set of hashes) to publicly released data
> of
> > positive / contagious cases. You could both check for exact co-presence,
> as
> > well as a before/after time range. If there was a match, then they alone
> > would decide what to do. Ideally any system would tell them to
> self-isolate
> > at the list, provide local testing options, and also ask them to share
> > their anonymized data set of time+place hashes, to be added into the
> > centrally stored aggregated mix of potential contract time+place hashes.
> >
> > I know there are researchers at BU working on civic applications for
> > multi-party computation[3], and plan to reach out to them. Who else
> should
> > I be talking to? Are Google, Apple, Facebook and others already thinking
> > along these lines? They surely have the motherload of location data at
> this
> > resolution, but again, as we have seen in previous cases with national
> > security and law enforcement, these are tricky boxes to close once they
> are
> > opened.
> >
> > Thanks for any thoughts, contacts or feedback.
> >
> > Take care, stay soapy,
> > Nathan
> >
> > p.s. Shout-out to all of you home schooling parents out there. I mean I
> > have had in-office interns and research assistants before, but usually
> they
> > are a bit more qualified! :)
> >
> > [0] https://spotlightproject.gitlab.io/
> >
> > [1] https://llimllib.github.io/bloomfilter-tutorial/
> >
> > [2]
> >
> https://security.googleblog.com/2019/06/helping-organizations-do-more-without-collecting-more-data.html
> >
> > [3] https://multiparty.org/
> >
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