The Use of De-identification Methods for Secure and Privacy-enhancing Big Data Analytics in Cloud Environments. - Gloria Bondel; Gonzalo Munilla Garrido; Kevin Baumer; Florian Matthes (ICEIS (2), 2020)

Towards a Privacy-Enhancing Tool Based on De- Identification Methods. - Gloria Bondel; Gonzalo Munilla Garrido; Kevin Baumer; Florian Matthes (PACIS, 2020)

Exploring privacy-enhancing technologies in the automotive value chain. - Gonzalo Munilla Garrido; Kaja Schmidt; Christopher Harth-Kitzerow; Johannes Klepsch; André Luckow; Florian Matthes (IEEE BigData, 2021)

Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries. - Gonzalo Munilla Garrido; Joseph P. Near; Muhammad Aitsam; Warren He; Roman Matzutt; Florian Matthes (CoRR, 2021)

Towards Verifiable Differentially-Private Polling. - Gonzalo Munilla Garrido; Johannes Sedlmeir; Matthias Babel (ARES, 2022)

Mitigating Sovereign Data Exchange Challenges: A Mapping to Apply Privacy- and Authenticity-Enhancing Technologies. - Kaja Schmidt; Gonzalo Munilla Garrido; Alexander Mühle; Christoph Meinel (TrustBus, 2022)

Verifying Outsourced Computation in an Edge Computing Marketplace. - Christopher Harth-Kitzerow; Gonzalo Munilla Garrido (CoRR, 2022)

Exploring the Unprecedented Privacy Risks of the Metaverse. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song (CoRR, 2022)

Going Incognito in the Metaverse. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song (CoRR, 2022)

Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review. - Gonzalo Munilla Garrido; Johannes Sedlmeir; Ömer Uludag; Ilias Soto Alaoui; André Luckow; Florian Matthes (J. Netw. Comput. Appl., 2022)

Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR. - Vivek C. Nair; Gonzalo Munilla Garrido; Dawn Song (UIST, 2023)

SoK: The Gap Between Data Rights Ideals and Reality. - Yujin Kwon; Ella Corren; Gonzalo Munilla Garrido; Chris Jay Hoofnagle; Dawn Song (CoRR, 2023)

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. - Gonzalo Munilla Garrido; Xiaoyuan Liu; Florian Matthes; Dawn Song (Proc. Priv. Enhancing Technol., 2023)

Exploring the Privacy Risks of Adversarial VR Game Design. - Vivek Nair; Gonzalo Munilla Garrido; Dawn Song; James F. O'Brien (Proc. Priv. Enhancing Technol., 2023)

SoK: Privacy-Preserving Data Synthesis. - Yuzheng Hu; Fan Wu 011; Qinbin Li; Yunhui Long; Gonzalo Munilla Garrido; Chang Ge 002; Bolin Ding; David A. Forsyth; Bo Li 026; Dawn Song (SP, 2024)

Improving the Applicability of Differential Privacy in Data Sharing and Analytics Applications. - Gonzalo Munilla Garrido (2024)

SoK: Data Privacy in Virtual Reality. - Gonzalo Munilla Garrido; Vivek Nair; Dawn Song (Proc. Priv. Enhancing Technol., 2024)