A comparative analysis of decentralized power grid stabilization strategies. - Arnd Hartmanns; Holger Hermanns; Pascal Berrang (WSC, 2012)

How well do you blend into the crowd? - d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data. - Michael Backes 001; Pascal Berrang; Praveen Manoharan 001 (CoRR, 2015)

Membership Privacy in MicroRNA-based Studies. - Michael Backes 001; Pascal Berrang; Mathias Humbert; Praveen Manoharan 001 (CCS, 2016)

From Zoos to Safaris - From Closed-World Enforcement to Open-World Assessment of Privacy. - Michael Backes 001; Pascal Berrang; Praveen Manoharan 001 (FOSAD, 2016)

Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles. - Michael Backes 001; Pascal Berrang; Anna Hecksteden; Mathias Humbert; Andreas Keller; Tim Meyer (USENIX Security Symposium, 2016)

On Profile Linkability despite Anonymity in Social Media Systems. - Michael Backes 001; Pascal Berrang; Oana Goga; Krishna P. Gummadi; Praveen Manoharan 001 (WPES@CCS, 2016)

Identifying Personal DNA Methylation Profiles by Genotype Inference. - Michael Backes 001; Pascal Berrang; Matthias Bieg; Roland Eils; Carl Herrmann; Mathias Humbert; Irina Lehmann (IEEE Symposium on Security and Privacy, 2017)

Dissecting Privacy Risks in Biomedical Data. - Pascal Berrang; Mathias Humbert; Yang Zhang 016; Irina Lehmann; Roland Eils; Michael Backes 001 (EuroS&P, 2018)

Anonymisierungsverfahren für genetische Daten. - Ninja Marnau; Pascal Berrang; Mathias Humbert (Datenschutz und Datensicherheit, 2018)

Simulating the Large-Scale Erosion of Genomic Privacy Over Time. - Michael Backes 001; Pascal Berrang; Mathias Humbert; Xiaoyu Shen 001; Verena Wolf (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Quantifying and mitigating privacy risks in biomedical data. - Pascal Berrang (2018)

Quantifying and Mitigating Privacy Risks in Biomedical Data. - Pascal Berrang (Ausgezeichnete Informatikdissertationen, 2018)

Albatross - An optimistic consensus algorithm. - Pascal Berrang; Philipp von Styp-Rekowsky; Marvin Wissfeld; Bruno França; Reto Trinkler (CVCBT, 2019)

MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. - Inken Hagestedt; Yang Zhang 016; Mathias Humbert; Pascal Berrang; Haixu Tang; XiaoFeng Wang 001; Michael Backes 001 (NDSS, 2019)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Ahmed Salem 001; Yang Zhang 016; Mathias Humbert; Pascal Berrang; Mario Fritz; Michael Backes 001 (NDSS, 2019)

Privacy-Preserving Similar Patient Queries for Combined Biomedical Data. - Ahmed Salem 001; Pascal Berrang; Mathias Humbert; Michael Backes 001 (Proc. Priv. Enhancing Technol., 2019)

Membership Inference Against DNA Methylation Databases. - Inken Hagestedt; Mathias Humbert; Pascal Berrang; Irina Lehmann; Roland Eils; Michael Backes 001; Yang Zhang 016 (EuroS&P, 2020)

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. - Zeyang Sha; Xinlei He 001; Pascal Berrang; Mathias Humbert; Yang Zhang 016 (CoRR, 2022)

A framework for constructing Single Secret Leader Election from MPC. - Michael Backes 001; Pascal Berrang; Lucjan Hanzlik; Ivan Pryvalov (IACR Cryptol. ePrint Arch., 2022)

Data Poisoning Attacks Against Multimodal Encoders. - Ziqing Yang 002; Xinlei He 001; Zheng Li 023; Michael Backes 001; Mathias Humbert; Pascal Berrang; Yang Zhang 016 (ICML, 2023)

Accountable Javascript Code Delivery. - Ilkan Esiyok; Pascal Berrang; Katriel Cohn-Gordon; Robert Künnemann (NDSS, 2023)

On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. - Zhipeng Wang 009; Stefanos Chaliasos; Kaihua Qin; Liyi Zhou; Lifeng Gao; Pascal Berrang; Benjamin Livshits; Arthur Gervais (IACR Cryptol. ePrint Arch., 2023)

Quantifying Privacy Risks of Prompts in Visual Prompt Learning. - Yixin Wu 001; Rui Wen 002; Michael Backes 001; Pascal Berrang; Mathias Humbert; Yun Shen; Yang Zhang 016 (USENIX Security Symposium, 2024)

Measuring Conditional Anonymity - A Global Study. - Pascal Berrang; Paul Gerhart; Dominique Schröder (Proc. Priv. Enhancing Technol., 2024)

Link Stealing Attacks Against Inductive Graph Neural Networks. - Yixin Wu 001; Xinlei He 001; Pascal Berrang; Mathias Humbert; Michael Backes 001; Neil Zhenqiang Gong; Yang Zhang 016 (Proc. Priv. Enhancing Technol., 2024)

SoK: Descriptive Statistics Under Local Differential Privacy. - René Raab; Pascal Berrang; Paul Gerhart; Dominique Schröder (Proc. Priv. Enhancing Technol., 2025)

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs). - Xihan Xiong; Zhipeng Wang 009; Qin Wang 008; Endong Liu; Pascal Berrang; William Knottenbelt (CoRR, 2025)

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models. - Jianyao Yin; Luca Arnaboldi; Honglong Chen; Pascal Berrang (CoRR, 2025)

Evasion Under Blockchain Sanctions. - Endong Liu; Mark Ryan; Liyi Zhou; Pascal Berrang (CoRR, 2025)