Decentralized Privacy-Preserving Proximity Tracing. - Carmela Troncoso; Mathias Payer; Jean-Pierre Hubaux; Marcel Salathé; James R. Larus; Edouard Bugnion; Wouter Lueks; Theresa Stadler; Apostolos Pyrgelis; Daniele Antonioli; Ludovic Barman; Sylvain Chatel; et al. (CoRR, 2020)

Synthetic Data - A Privacy Mirage. - Theresa Stadler; Bristena Oprisanu; Carmela Troncoso (CoRR, 2020)

Decentralized Privacy-Preserving Proximity Tracing. - Carmela Troncoso; Mathias Payer; Jean-Pierre Hubaux; Marcel Salathé; James R. Larus; Wouter Lueks; Theresa Stadler; Apostolos Pyrgelis; Daniele Antonioli; Ludovic Barman; Sylvain Chatel; Kenneth G. Paterson; et al. (IEEE Data Eng. Bull., 2020)

Preliminary Analysis of Potential Harms in the Luca Tracing System. - Theresa Stadler; Wouter Lueks; Katharina Kohls; Carmela Troncoso (CoRR, 2021)

Synthetic Data - Anonymisation Groundhog Day. - Theresa Stadler; Bristena Oprisanu; Carmela Troncoso (USENIX Security Symposium, 2022)

Deploying decentralized, privacy-preserving proximity tracing. - Carmela Troncoso; Dan Bogdanov; Edouard Bugnion; Sylvain Chatel; Cas Cremers; Seda F. Gürses; Jean-Pierre Hubaux; Dennis Jackson; James R. Larus; Wouter Lueks; Rui Oliveira 001; Mathias Payer; et al. (Commun. ACM, 2022)

Why the search for a privacy-preserving data sharing mechanism is failing. - Theresa Stadler; Carmela Troncoso (Nat. Comput. Sci., 2022)

The Fundamental Limits of Least-Privilege Learning. - Theresa Stadler; Bogdan Kulynych; Michael Gastpar; Nicolas Papernot; Carmela Troncoso (ICML, 2024)