Accepted (non-archival) at Symposium on the Foundations of Responsible Computing (FORC 2024).
Accepted (non-archival) at Symposium on the Foundations of Responsible Computing (FORC 2024).
Spotlight presentation at Privacy Regulation and Protection in Machine Learning Workshop (@ ICLR 2024).
Proceedings of The 26th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2023).
Privacy Law Scholars Conference (PLSC 2023).
Poster in Theory and Practice of Differential Privacy (TPDP 2022).
Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT 2023).
In Privacy Law Scholars Conference (PLSC 2023).
Proceedings of the 40th International Conference on Machine Learning (ICML 2023).
Non-archival at ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2023).
In The Fourth AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-2023).
Proceedings of Algorithmic Fairness through the Lens of Causality and Privacy @ NeurIPS (2022).
Poster in Theory and Practice of Differential Privacy (TPDP 2022).
Poster in ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022).
Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021).
Proceedings of The Web Conference (WWW 2021).
Presentations at FTC PrivacyCon 2021 and Privacy Laws Scholars Conference (PLSC 2021).
Runner-up for the WWW Best Student Paper Award.
Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021).
Video and text of Piotr Sapiezynski's 2022 testimony in the Public Hearing before the European Parliament's Committee on Internal Market and Consumer Protection (IMCO).
Proceedings of 11th Conference on Innovations in Theoretical Computer Science (ITCS 2020).
Proceedings of 3rd ACM Conference on Fairness, Accountability, and Transparency (FAT* 2020).
Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2019).
Cited in Facebook's Civil Rights Audit Report.
Presentation at FTC PrivacyCon (2020).
CSCW Honorable Mention Award, CSCW Recognition of Contribution to Diversity and Inclusion
Proceedings of Conference on Information-Theoretic Cryptography (ITC 2020).
Privacy in Machine Learning Workshop @ NeurIPS (2019)
Proceedings of the Applied Networking Research Workshop (ANRW 2021)
Proceedings of the 20th Privacy Enhancing Technologies Symposium (PETS 2020).
Selected for presentation Privacy in Machine Learning Workshop @NeurIPS (2018)
Workshop on Technology and Consumer Protection (ConPro) @S&P (2018)
Poster at FTC PrivacyCon (2018)
Workshop on Technology and Consumer Protection (ConPro) @S&P (2020)
Proceedings of the 6th International Symposium on Cyber Security, Cryptology and Machine Learning (CSCML 2022)
Privacy in Machine Learning and Artificial Intelligence Workshop @ICML (2018)
4th Workshop on the Theory and Practice of Differential Privacy @CCS (2018)
26th USENIX Security Symposium (2017)
Journal of Privacy and Confidentiality Vol. 9 (2) (2019)
Presentation in Private and Secure Machine Learning Workshop @ICML (2017)
Presentation in 3rd Workshop on the Theory and Practice of Differential Privacy @CCS (2017)
Poster in The Web Conference (WWW 2018)
8th ACM Conference on Data and Application Security and Privacy (Codaspy 2018)
FTC PrivacyCon (2017)
(starting at 0:30:35)
NDSS Workshop on DNS Privacy (DNSPRIV '2018)
10th Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETS'2017 )
IEEE Symposium on Security & Privacy (S&P'2014)
Invited to Special Issue of IEEE Security and Privacy Magazine (2015)
Runner up for the 2015 PET Award
Deployed by Google.
Journal of Privacy and Confidentiality, Volume 5, Issue 1, Pages 39-71 (2013)
Ph.D. Thesis
Winner of the 2011-2012 Arthur L. Samuel Thesis Award, for the best Ph.D. thesis in the Computer Science department at Stanford.
Journal of Privacy and Confidentiality, Volume 3, Issue 1, Pages 27-49 (2011)
Workshop version in IEEE International Workshop on Privacy Aspects of Data Mining (PADM ’2010)
Co-winner of the 2011 PET Award
37th International Conference on Very Large Databases (VLDB ’2011)
18th International World Wide Web Conference (WWW ’2009)
Nominated for WWW Best Paper Award.
Ideas deployed in Google’s open source differential privacy library, 2019.
ACM 17th Conference on Information and Knowledge Management (CIKM ’2008)
Poster version in 24th International Conference on Data Engineering (ICDE ’2008)
14th International World Wide Web Conference (WWW ’2005)
Discrete Mathematics, Volume 292, Issues 1-3, Pages 107-117 (March 2005)
