:warning: This issue is created for WebML WG review purposes ahead the Privacy review request submission. The Web Neural Network API Working Draft is expected to move to Candidate Recommendation in 2022. This is the proposed review request to the W3C Privacy Interest Group (PING) to satisfy privacy review expectations for a CR publication.
PING request template, proposed input
This is the information requested by PING for "a WD that is moving to CR soon" (source), proposed input:
name of spec to be reviewed: Web Neural Network API
What and when is your next expected transition? CR in Q4 2022.
What has changed since any previous review? See "Changes since previous privacy review" section below.
Does your document have an in-line Privacy Considerations section, ideally one separate from the Security Considerations? https://www.w3.org/TR/webnn/#privacy
Other comments: Thanks to PING participants and other privacy experts for your contributions and participation in the Web Machine Learning Working Group on behalf of the whole WG.
Changes since previous privacy review
The Web Neural Network API received early PING review during 2020-2021: PING reviewed our initial self-review response (#119), the WG merged the self-review (#132) and added initial Security and Privacy Considerations (#170):
anssiko
commented
2 years ago
PING request template, proposed input
Other comments: Thanks to PING participants and other privacy experts for your contributions and participation in the Web Machine Learning Working Group on behalf of the whole WG.
Changes since previous privacy review
The Web Neural Network API received early PING review during 2020-2021: PING reviewed our initial self-review response (#119), the WG merged the self-review (#132) and added initial Security and Privacy Considerations (#170):
Based on additional privacy review conducted by Google Chrome Privacy, the WG updated the privacy considerations in #259:
In June 2022, the WG reviewed the changes since the previous privacy review took place identifying any privacy-impacting changes:
The WG identified the following potentially privacy-impacting issues, triaged with a "privacy-tracker" label:
The WG addressed https://github.com/webmachinelearning/webnn/issues/85 https://github.com/webmachinelearning/webnn/issues/175 and clarified https://github.com/webmachinelearning/webnn/issues/169 in PR https://github.com/webmachinelearning/webnn/pull/271. The WG elevated https://github.com/webmachinelearning/webnn/issues/7 to ethical considerations, a separate deliverable. Furthermore, the WG decided to drop WebGL dependency that removed related fingerprinting concerns: