Privacy Enhancing Technologies Evolution Series (PETs)

Dennis Buchheim, VP, Advertising Ecosystem, Meta

In collaboration with the ecosystem, Google Chrome is working on the Privacy Sandbox initiative to create technologies that both protect people’s privacy online and give companies and developers tools to build thriving digital businesses. During this session, Google Chrome will provide an update on the latest technical developments in Privacy Sandbox.

Christina Ilvento, Privacy Sandbox, Google

Barb Smith, Privacy Sandbox Partnerships, Google 

Secure multi-party computation (MPC) promises to be an important component in the digital advertising toolbox, allowing firms to protect data while continuing to offer existing services and innovating new ones. This session will introduce in detail some of the basic building blocks of MPC, present how MPC is being deployed at Magnite and Meta (such as for matching, activation, measurement, and aggregation), review lessons from past efforts, and discuss MPC’s role in the advertising ecosystem of the future.

Andrei Lapets, VP, Engineering & Applied Cryptography, Magnite

James Reyes, Tech Lead, Private Computation, Meta

There are several PETs Attribution solutions in market today namely SKAdNetworks, Webkit Private Click Attribution, Chrome Attribution Reporting API, and Meta/Mozilla IPA proposal. This panel of experts will discuss how these different solutions compare and what their plans are in terms of integrating these into their technology stack for attribution.

Ethan Lewis, Chief Technology Officer, Kochava

Rachit Sharma, Director, Product Management, PETs Programs, IAB Tech Lab

Aram Zucker-Scharff, Engineering Lead, Privacy & Security Compliance, The Washington Post

Erik Taubeneck, Research Scientist, Cryptography and Internet Technology, Meta

Differential privacy is a deterministic mathematical way to measure and manage privacy and the key technology being applied today in solutions enhancing privacy. This session will dive deep into the math and methods explaining different techniques used in differential privacy and example applications in AdTech.

Bhairavi Vyas, Product Manager, Neustar, a TransUnion Company

Training machine learning algorithms classically requires data collection in a single place such as a cloud server. Nevertheless, most data is by nature decentralized across many parties such as end-users’ devices (e.g. smartphones and tablets), retailers and publishers. Due to the introduction of data protections regulations and compliance principles such as personal data minimization and purpose limitation, along with potential commercial risks due to data leakage or mis-use, classical machine learning approaches might be no longer suitable.

Federated Learning is a recent and promising privacy enhancing technology (PET) enabling machine learning training at the edge without exchanging (personal) data. In this talk, Maxime Vono, Senior Research Assistant at Criteo, will present Federated Learning, its opportunities for data protection compliance and commercial risk reduction, and an application to Retail Media.

Maxime Vono, Senior Research Scientist, Criteo

A lot has been said about the importance of data clean rooms, but little detail on how to actually buy, implement, and utilize this critical technology has been discussed. Please join Annalect Chief Innovation Officer, Keith Roberson, and InfoSum VP of Product Marketing, Devon DeBlasio as they discuss the practical application of a data clean room in the real world. How to evaluate the technology, how to execute specific use cases, and how to drive adoption with clients, partners, and across your own organization.

Devon DeBlasio, VP, Product Marketing, InfoSum

Keith Roberson, Chief Innovation Officer, Annalect

As the use of clean rooms increases in popularity, many have identified opportunities for technical standards to streamline workflows within and across different clean room vendors. What problems might these new standards help solve, and for who? What use cases will they support? And what pain points can we expect to remain in the mid and long term? In this conversation moderated by IAB Tech Lab’s VP of Product, Benjamin Dick, you’ll hear from NBCUniversal’s SVP for Data Products and Partnerships, Kaitie Coghlan, Optable’s Chief Product Officer, Bosko Milekic, InfoSum VP of Product Marketing, Devon DeBlasio, and AppFlyer’s General Manager of Privacy Cloud, Edik Mitelman, on the future of clean room standards and open ecosystem interoperability.

Benjamin Dick, VP, Privacy & Addressability, IAB Tech Lab

Chase Engstrom, Global Director of Sales Engineering, InfoSum

Nick Illobre, SVP of Product Strategy, NBCUniversal

Bosko Milekic, Chief Product Officer, Optable

Edik Mitelman, GM, Privacy Cloud, AppsFlyer

Shailley Singh, SVP, Product & Chief Operating Officer, IAB Tech Lab