Aug. 28, 2023, 1:10 a.m. | Matthew Dawson, Badih Ghazi, Pritish Kamath, Kapil Kumar, Ravi Kumar, Bo Luan, Pasin Manurangsi, Nishanth Mundru, Harikesh Nair, Adam Sealfon, Shengyu

cs.CR updates on arXiv.org arxiv.org

We study the task of performing hierarchical queries based on summary reports
from the {\em Attribution Reporting API} for ad conversion measurement. We
demonstrate that methods from optimization and differential privacy can help
cope with the noise introduced by privacy guardrails in the API. In particular,
we present algorithms for (i) denoising the API outputs and ensuring
consistency across different levels of the tree, and (ii) optimizing the
privacy budget across different levels of the tree. We provide an experimental …

algorithms api attribution conversion differential privacy measurement noise optimization performing privacy reporting reports study task

CyberSOC Technical Lead

@ Integrity360 | Sandyford, Dublin, Ireland

Cyber Security Strategy Consultant

@ Capco | New York City

Cyber Security Senior Consultant

@ Capco | Chicago, IL

Senior Security Researcher - Linux MacOS EDR (Cortex)

@ Palo Alto Networks | Tel Aviv-Yafo, Israel

Sr. Manager, NetSec GTM Programs

@ Palo Alto Networks | Santa Clara, CA, United States

SOC Analyst I

@ Fortress Security Risk Management | Cleveland, OH, United States