Meet the family of statistical disclosure attacks. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (GlobalSIP, 2013)

Do Dummies Pay Off? Limits of Dummy Traffic Protection in Anonymous Communications. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (Privacy Enhancing Technologies, 2014)

Understanding the effects of real-world behavior in statistical disclosure attacks. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (WIFS, 2014)

A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems. - Fernando Pérez-González; Carmela Troncoso; Simon Oya (IEEE Trans. Inf. Forensics Secur., 2014)

Design of Pool Mixes Against Profiling Attacks in Real Conditions. - Simon Oya; Fernando Pérez-González; Carmela Troncoso (IEEE/ACM Trans. Netw., 2016)

Back to the Drawing Board: Revisiting the Design of Optimal Location Privacy-preserving Mechanisms. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (CCS, 2017)

Filter design for delay-based anonymous communications. - Simon Oya; Fernando Pérez-González; Carmela Troncoso (ICASSP, 2017)

Is Geo-Indistinguishability What You Are Looking for? - Simon Oya; Carmela Troncoso; Fernando Pérez-González (WPES@CCS, 2017)

On the the design of optimal location privacy-preserving mechanisms. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (CoRR, 2017)

A Tabula Rasa Approach to Sporadic Location Privacy. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (CoRR, 2018)

Rethinking Location Privacy for Unknown Mobility Behaviors. - Simon Oya; Carmela Troncoso; Fernando Pérez-González (EuroS&P, 2019)

Practical Over-Threshold Multi-Party Private Set Intersection. - Rasoul Akhavan Mahdavi; Thomas Humphries; Bailey Kacsmar; Simeon Krastnikov; Nils Lukas; John A. Premkumar; Masoumeh Shafieinejad; Simon Oya; Florian Kerschbaum; Erik-Oliver Blass (ACSAC, 2020)

Differentially Private Two-Party Set Operations. - Bailey Kacsmar; Basit Khurram; Nils Lukas; Alexander Norton; Masoumeh Shafieinejad; Zhiwei Shang; Yaser Baseri; Maryam Sepehri; Simon Oya; Florian Kerschbaum (EuroS&P, 2020)

Differentially Private Learning Does Not Bound Membership Inference. - Thomas Humphries; Matthew Rafuse; Lindsey Tulloch; Simon Oya; Ian Goldberg; Florian Kerschbaum (CoRR, 2020)

Obfuscated Access and Search Patterns in Searchable Encryption. - Zhiwei Shang; Simon Oya; Andreas Peter 001; Florian Kerschbaum (NDSS, 2021)

Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption. - Simon Oya; Florian Kerschbaum (USENIX Security Symposium, 2021)

Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference. - Jiaxiang Liu 007; Simon Oya; Florian Kerschbaum (CoRR, 2021)

IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. - Simon Oya; Florian Kerschbaum (USENIX Security Symposium, 2022)

Investigating Membership Inference Attacks under Data Dependencies. - Thomas Humphries; Simon Oya; Lindsey Tulloch; Matthew Rafuse; Ian Goldberg; Urs Hengartner; Florian Kerschbaum (CSF, 2023)

Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. - Abdulrahman Diaa; Lucas Fenaux; Thomas Humphries; Marian Dietz; Faezeh Ebrahimianghazani; Bailey Kacsmar; Xinda Li 001; Nils Lukas; Rasoul Akhavan Mahdavi; Simon Oya; Ehsan Amjadian; Florian Kerschbaum (USENIX Security Symposium, 2024)

PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. - Rasoul Akhavan Mahdavi; Nils Lukas; Faezeh Ebrahimianghazani; Thomas Humphries; Bailey Kacsmar; John A. Premkumar; Xinda Li 001; Simon Oya; Ehsan Amjadian; Florian Kerschbaum (USENIX Security Symposium, 2024)