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Pascal Berrang
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2020 – today
- 2025
- [j6]René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder:
SoK: Descriptive Statistics Under Local Differential Privacy. Proc. Priv. Enhancing Technol. 2025(1): 118-149 (2025) - 2024
- [j5]Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. 2024(4): 818-839 (2024) - [j4]Pascal Berrang, Paul Gerhart, Dominique Schröder:
Measuring Conditional Anonymity - A Global Study. Proc. Priv. Enhancing Technol. 2024(4): 947-966 (2024) - [c16]Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang:
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium 2024 - [i12]Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR abs/2405.05784 (2024) - [i11]Pascal Berrang, Paul Gerhart, Dominique Schröder:
Measuring Conditional Anonymity - A Global Study. IACR Cryptol. ePrint Arch. 2024: 998 (2024) - [i10]René Raab, Pascal Berrang, Paul Gerhart, Dominique Schröder:
SoK: Descriptive Statistics Under Local Differential Privacy. IACR Cryptol. ePrint Arch. 2024: 1464 (2024) - 2023
- [c15]Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang:
Data Poisoning Attacks Against Multimodal Encoders. ICML 2023: 39299-39313 - [c14]Ilkan Esiyok, Pascal Berrang, Katriel Cohn-Gordon, Robert Künnemann:
Accountable Javascript Code Delivery. NDSS 2023 - [c13]Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Benjamin Livshits, Arthur Gervais:
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. WWW 2023: 2022-2032 - [i9]Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang:
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR abs/2310.11970 (2023) - [i8]Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Benjamin Livshits, Arthur Gervais:
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. IACR Cryptol. ePrint Arch. 2023: 341 (2023) - 2022
- [c12]Michael Backes, Pascal Berrang, Lucjan Hanzlik, Ivan Pryvalov:
A Framework for Constructing Single Secret Leader Election from MPC. ESORICS (2) 2022: 672-691 - [i7]Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Ben Livshits, Arthur Gervais:
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. CoRR abs/2201.09035 (2022) - [i6]Ilkan Esiyok, Robert Künnemann, Pascal Berrang, Katriel Cohn-Gordon:
Accountable Javascript Code Delivery. CoRR abs/2202.09795 (2022) - [i5]Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang:
Data Poisoning Attacks Against Multimodal Encoders. CoRR abs/2209.15266 (2022) - [i4]Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang:
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. CoRR abs/2212.09067 (2022) - [i3]Michael Backes, Pascal Berrang, Lucjan Hanzlik, Ivan Pryvalov:
A framework for constructing Single Secret Leader Election from MPC. IACR Cryptol. ePrint Arch. 2022: 1040 (2022) - 2020
- [c11]Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang:
Membership Inference Against DNA Methylation Databases. EuroS&P 2020: 509-520
2010 – 2019
- 2019
- [j3]Ahmed Salem, Pascal Berrang, Mathias Humbert, Michael Backes:
Privacy-Preserving Similar Patient Queries for Combined Biomedical Data. Proc. Priv. Enhancing Technol. 2019(1): 47-67 (2019) - [c10]Pascal Berrang, Philipp von Styp-Rekowsky, Marvin Wissfeld, Bruno França, Reto Trinkler:
Albatross - An optimistic consensus algorithm. CVCBT 2019: 39-42 - [c9]Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, XiaoFeng Wang, Michael Backes:
MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. NDSS 2019 - [c8]Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS 2019 - [i2]Bruno França, Marvin Wissfeld, Pascal Berrang, Philipp von Styp-Rekowsky, Reto Trinkler:
Albatross: An optimistic consensus algorithm. CoRR abs/1903.01589 (2019) - 2018
- [b1]Pascal Berrang:
Quantifying and mitigating privacy risks in biomedical data. Saarland University, Saarbrücken, Germany, 2018 - [j2]Ninja Marnau, Pascal Berrang, Mathias Humbert:
Anonymisierungsverfahren für genetische Daten. Datenschutz und Datensicherheit 42(2): 83-88 (2018) - [j1]Michael Backes, Pascal Berrang, Mathias Humbert, Xiaoyu Shen, Verena Wolf:
Simulating the Large-Scale Erosion of Genomic Privacy Over Time. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1405-1412 (2018) - [c7]Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes:
Dissecting Privacy Risks in Biomedical Data. EuroS&P 2018: 62-76 - [p1]Pascal Berrang:
Quantifying and Mitigating Privacy Risks in Biomedical Data. Ausgezeichnete Informatikdissertationen 2018: 21-30 - 2017
- [c6]Michael Backes, Pascal Berrang, Matthias Bieg, Roland Eils, Carl Herrmann, Mathias Humbert, Irina Lehmann:
Identifying Personal DNA Methylation Profiles by Genotype Inference. IEEE Symposium on Security and Privacy 2017: 957-976 - 2016
- [c5]Michael Backes, Pascal Berrang, Mathias Humbert, Praveen Manoharan:
Membership Privacy in MicroRNA-based Studies. CCS 2016: 319-330 - [c4]Michael Backes, Pascal Berrang, Praveen Manoharan:
From Zoos to Safaris - From Closed-World Enforcement to Open-World Assessment of Privacy. FOSAD 2016: 87-138 - [c3]Michael Backes, Pascal Berrang, Anna Hecksteden, Mathias Humbert, Andreas Keller, Tim Meyer:
Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles. USENIX Security Symposium 2016: 1223-1240 - [c2]Michael Backes, Pascal Berrang, Oana Goga, Krishna P. Gummadi, Praveen Manoharan:
On Profile Linkability despite Anonymity in Social Media Systems. WPES@CCS 2016: 25-35 - 2015
- [i1]Michael Backes, Pascal Berrang, Praveen Manoharan:
How well do you blend into the crowd? - d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data. CoRR abs/1502.03346 (2015) - 2012
- [c1]Arnd Hartmanns, Holger Hermanns, Pascal Berrang:
A comparative analysis of decentralized power grid stabilization strategies. WSC 2012: 158:1-158:13
Coauthor Index
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