Responsibility and the publishing industry. - Emily Gillingham; Sarah Bird (Learn. Publ., 2009)

A case for FAME: FPGA architecture model execution. - Zhangxi Tan; Andrew Waterman; Henry Cook; Sarah Bird; Krste Asanovic; David A. Patterson 001 (ISCA, 2010)

Tessellation operating system: Building a real-time, responsive, high-throughput client OS for many-core architectures. - Juan A. Colmenares; Sarah Bird; Gage Eads; Steven A. Hofmeyr; Albert Kim; Rohit Poddar; Hilfi Alkaff; Krste Asanovic; John Kubiatowicz (Hot Chips Symposium, 2011)

Tessellation: refactoring the OS around explicit resource containers with continuous adaptation. - Juan A. Colmenares; Gage Eads; Steven A. Hofmeyr; Sarah Bird; Miquel Moretó; David Chou; Brian Gluzman; Eric Roman; Davide B. Bartolini; Nitesh Mor; Krste Asanovic; John Kubiatowicz (DAC, 2013)

A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness. - Henry Cook; Miquel Moretó; Sarah Bird; Khanh Dao; David A. Patterson 001; Krste Asanovic (ISCA, 2013)

Optimizing Resource Allocations for Dynamic Interactive Applications. - Sarah Bird (2014)

A Multiworld Testing Decision Service. - Alekh Agarwal; Sarah Bird; Markus Cozowicz; Luong Hoang; John Langford 001; Stephen Lee; Jiaji Li; I. Dan Melamed; Gal Oshri; Oswaldo Ribas; Siddhartha Sen 001; Alex Slivkins (CoRR, 2016)

Abstractions for AI-Based User Interfaces and Systems. - Alex Renda; Harrison Goldstein; Sarah Bird; Chris Quirk; Adrian Sampson (CoRR, 2017)

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. - Kim M. Hazelwood; Sarah Bird; David M. Brooks; Soumith Chintala; Utku Diril; Dmytro Dzhulgakov; Mohamed Fawzy; Bill Jia; Yangqing Jia; Aditya Kalro; James Law; Kevin Lee; et al. (HPCA, 2018)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WSDM, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Ben Hutchinson; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WWW (Companion Volume), 2019)

SysML: The New Frontier of Machine Learning Systems. - Alexander Ratner; Dan Alistarh; Gustavo Alonso; David G. Andersen; Peter Bailis; Sarah Bird; Nicholas Carlini; Bryan Catanzaro; Eric S. Chung; Bill Dally; Jeff Dean; Inderjit S. Dhillon; et al. (CoRR, 2019)

Replication: Why We Still Can't Browse in Peace: On the Uniqueness and Reidentifiability of Web Browsing Histories. - Sarah Bird; Ilana Segall; Martin Lopatka (SOUPS @ USENIX Security Symposium, 2020)

The Representativeness of Automated Web Crawls as a Surrogate for Human Browsing. - David Zeber; Sarah Bird; Camila Oliveira; Walter Rudametkin; Ilana Segall; Fredrik Wollsén; Martin Lopatka (WWW, 2020)

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection. - Sarah Bird; Vikas Mishra; Steven Englehardt; Rob Willoughby; David Zeber; Walter Rudametkin; Martin Lopatka (CoRR, 2020)

Tracking Measurement Obfuscations from SourceURL. - Sarah Bird (CoRR, 2020)

Socio-Technological Challenges and Opportunities: Paths Forward. - Carole-Jean Wu; Srilatha Manne; Parthasarathy Ranganathan; Sarah Bird; Shane Greenstein (CoRR, 2021)

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. - Ahmed Magooda; Alec Helyar; Kyle Jackson; David Sullivan; Chad Atalla; Emily Sheng; Dan Vann; Richard Edgar; Hamid Palangi; Roman Lutz; Hongliang Kong; Vincent Yun; et al. (CoRR, 2023)