ven if their particular implementations of a complete IP
> protection system are implementation-specific.
> Reilly Grant | Software Engineer | rei...@chromium.org | Google Chrome
> <https://www.google.com/chrome>
>
>
> On Mon, Jul 28, 2025 at 1:52 PM 'Theodore Olsauskas-W
Contact emails
sau...@google.com, las...@google.com, nick...@google.com,
erictrou...@chromium.org, ryanka...@google.com, ayk...@google.com
Explainer
https://github.com/GoogleChrome/ip-protection/blob/main/prt_explainer.md
Specification
https://datatracker.ietf.org/doc/html/draft-pfeiffenberger
Contact emails
sau...@google.com, las...@google.com, nick...@google.com,
erictrou...@chromium.org, ryanka...@google.com, ayk...@google.com
Explainer
https://github.com/GoogleChrome/ip-protection/blob/main/prt_explainer.md
Specification
None
Summary
To ensure that businesses can continue to e
(Chrome OWP Privacy reviewer drive-by)
I'm trying to understand whether the various tech() capabilities are
directly derivable from already exposed information, and this is just a
convenience, or whether otherwise identical UAs might give out different
values based on the platform or user confi
Hi Team,
Have there been any changes since the conclusion of the previous experiment?
Thanks,
Theo.
On Thursday, April 14, 2022 at 12:36:07 AM UTC+2 jbr...@chromium.org wrote:
> Contact emails
>
> jbr...@chromium.org, kenji...@chromium.org
>
> Explainer
>
> https://github.com/WICG/nav-speculat
Ok great, thanks for clarifying Peter. We (S&P OWP reviewers) didn't have
any other concerns.
Theo.
On Mon, Nov 8, 2021 at 3:20 PM Peter Beverloo wrote:
> Hi Theodore - apologies for missing this!
>
> A single model is used for all users, which ships as part of Chromium. The
> generated impleme
Friendly bump on the above, are the details of the proposed ML model
available anywhere?
Theo.
On Friday, October 15, 2021 at 9:57:29 AM UTC+2 Theodore Olsauskas-Warren
wrote:
> Privacy clarification question, you've mentioned that an ML model will be
> used to distinguish iconography from ph
Privacy clarification question, you've mentioned that an ML model will be
used to distinguish iconography from photos, I'd like to understand a bit
more about that model. Is the model static? Will we be delivering the same
model to all users? With what cadence will we be pushing new models?
Tha
