Web Advertising Business Group repository
Raise issues, add drafts. As you add a document, feel free to add a PR for its description to the README.
- Advertising Technology Use Cases: "Use Cases" Tabulation of common AdTech use cases and the proposals or browsers supporting them
- Overview of Online Advertising & Marketing, an overview of common business use cases for digital advertising.
- Participants in Online Advertising "Hello Ads," an introduction to the online advertising ecosystem.
- Common User Flows: Example user experiences and the parties involved.
- Understanding Privacy Advocates: a set of readings to help understand the position of privacy and user advocates to help address them in our proposals.
- FLoC Origin Trial
- Eyeo FLoC-style Browser Extension
- FLoC Simulator
- Magnite FLEDGE Polyfill
- Criteo Privacy Preserving ML with Data
- Google Ads Privacy Tests
- Transparency via a Machine-readable Server Identity and Purpose Descriptor
- Privacy protecting metrics for web audience measurement
- Cross-Browser Anonymous Conversion Reporting
- Enabling browsers that belong to the same person to discover one another
- Browser API for Private Lift Measurement - Conceptual Overview
- Real-Time Bidding Use Case
- Threat modeling for Cross-Browser Anonymous Conversion Reporting
- PETREL
- Conversion Filters
- Privacy Preserving Lookalike Targeting
- Self-Review Questionnaire: Interoperability, Choice, Accessibility and Accountability
- Frequency Capping and Frequency Optimization
- Privacy Preserving Multi-Channel Attribution
- Proposed Success Criteria, this document defines success criteria to consider when evaluating proposals which impact web advertising.
- Private fraud prevention
- Conversion measurement API
- Ad click attribution
- Trust token API
- Tracking prevention policy
- Privacy budget
- First party sets
- Privacy considerations
- Aggregate reporting API
- IP Blindness
- FLoC: Federated Learning of Cohorts
- PIGIN: Private Interest Groups, Including Noise (deprecated in favor of TURTLEDOVE)
- TURTLEDOVE
- Product-level TURTLEDOVE (extension feasible for TURTLEDOVE & SPARROW)
- Outcome-based TURTLEDOVE (extension introducing in Turtledove outcome-based approach - monitor and validate bidding outcomes, not inputs)
- TURTLEDOVE-js demo (demo implementation of TURTLEDOVE - based on available technologies)
- isLoggedIn
- SPARROW
- Gatekeeper
- Proprietary Cohorts
- Fenced Frame
- TERN (TURTLEDOVE Enhancements with Reduced Networking)
- PARRROT (PARRROT: The Publisher Auction Responsibility Retention Revision of TurtleDove)
- PELICAN (Private Learning and Inference for Causal Attribution)
- PUFFIN (Personal User Floors For Impression Negotiations)
- SPURFOWL (Sandboxed Private User Reporting Functions Operating Within Limits) and other NextRoll proposals including MURRE.
- TEETAR(TEETAR: Testing Environment Enabling Truthful and Actionable Results)
- FLEDGE, the collection of proposals in the greater TURTLEDOVE idea space that Chrome plans to implement in 2021.
- SWAN Storage With Access Negotiation (SWAN)
- SPECTACLE Sensible Privacy Enablement by Clustering Targeting Attributes in CLiEnt and Crumbs
- PARAKEET "Private and Anonymized Requests for Ads that Keep Efficacy and Enhance Transparency"
- SandPiper "a privacy preserving method to define a secure context that allows data storage amongst a network of certified partners"
- Kitten Cluster "Knitting Interconnected Technical Tenants Enumerating Nonconformities Coincidedly Labeling Unrelated Standards Towards Effective Remediation"
- GARUDA "Governance of Ad Requests by a Union of Diverse Actors" — This is a proposed governance model to make the trusted server (as found in other proposals) trusted without relying on technical mechanisms that may not exist at this time.
- Shared Storage Shared Storage API
- SUSHI Suggested and User-Specified Hierarchical Interests
- TAG Privacy Principles Working Document The TAG working document on stating privacy principles (this is not yet a finalized document)
- Self-Review Questionnaire: Security and Privacy This document contains a set of questions to be used when evaluating the security and privacy implications of web platform technologies.
