Pascal Berrang

1.3k citations
21 papers · 869 · 1 hit paper · h-index 11

Impact in

    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Cryptography and Data Security
    • Security and Verification in Computing
    • Blockchain Technology Applications and Security
    • Cloud Data Security Solutions

Papers in

Pascal Berrang

18 papers receiving 854 citations

Pascal Berrang's Hit Papers

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models 2019 · 563 citations
5630+2+4Years since publication100200300400500

Peers

Pascal Berrang
Comparison fields: 5 of 30
  • Artificial Intelligence 762
  • Information Systems 67
  • Signal Processing 11
  • Hardware and Architecture 8
  • Computer Vision and Pattern Recognition 22
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Dong Su United States
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Zaixi Zhang China
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Fatemehsadat Mireshghallah United States
Mika Juuti Finland
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Citations per year

Countries citing papers authored by Pascal Berrang

Since Specialization
Citations

This map shows the geographic impact of Pascal Berrang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pascal Berrang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Berrang more than expected).

Fields of papers citing papers by Pascal Berrang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal Berrang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pascal Berrang. The network helps show where Pascal Berrang may publish in the future.

Co-authors

The 25 scholars most cited alongside Pascal Berrang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Berrang Line = papers co-authored together Pascal Berrang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Hit paper breakdown →
2019563
2 201691
3 201934
4 202330
5 201724
6 201620
7 201818
8
Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles
201616
9 201816
10 201212
11 201812
12
A COMPARATIVE ANALYSIS OF DECENTRALIZED POWER GRID STABILIZATION STRATEGIES
20149
13 20198
14 20226
15 20204
16 20243
17 20242
18
How well do you blend into the crowd? - d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data.
20151
19 20180
20 20230

About Pascal Berrang

Pascal Berrang is a scholar working on Artificial Intelligence, Energy Engineering and Power Technology, Sociology and Political Science, Control and Systems Engineering and Information Systems, having authored 21 papers that have together received 869 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Privacy, Security, and Data Protection (4 papers), Cryptography and Data Security (4 papers), Power Systems and Renewable Energy (2 papers), Frequency Control in Power Systems (2 papers), Microgrid Control and Optimization (2 papers), Blockchain Technology Applications and Security (2 papers) and Biometric Identification and Security (1 paper). The work is most often cited by research in Artificial Intelligence (762 citations), Information Systems (67 citations), Signal Processing (11 citations), Hardware and Architecture (8 citations) and Computer Vision and Pattern Recognition (22 citations). Pascal Berrang has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Michael Backes A, Mathias Humbert, Ahmed Salem, Mario Fritz, Yang Zhang, Praveen Manoharan, Irina Lehmann, Roland Eils, Arnd Hartmanns and Holger Hermanns. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, Lecture notes in computer science, Datenschutz und Datensicherheit - DuD, ACM SIGSAC Conference on Computer and Communications Security (CCS) and IEEE European Symposium on Security and Privacy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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