2026 Florian Kerschbaum: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	42	8474	8236	339	324	247	6550

Research.com Recognitions

2019 - ACM Distinguished Member
2014 - ACM Senior Member

Overview

Florian Kerschbaum is affiliated with the University of Waterloo in Canada and has contributed extensively to the field of Computer Science, particularly in Artificial Intelligence and Cryptography. Their research encompasses key areas such as Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, and Complexity and Algorithms in Graphs.

The scientist has authored numerous publications across several venues, with frequent contributions to:

arXiv (Cornell University)
Proceedings on Privacy Enhancing Technologies
Proceedings of the VLDB Endowment
2022 IEEE Symposium on Security and Privacy (SP)
Foundations and Trends® in Privacy and Security

Recent significant papers by Florian Kerschbaum include:

SoK: How Robust is Image Classification Deep Neural Network Watermarking?, 2022, published at the 2022 IEEE Symposium on Security and Privacy (SP)
Identifying and Mitigating the Security Risks of Generative AI, 2023, published in Foundations and Trends® in Privacy and Security
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption, 2020, published on arXiv (Cornell University)
DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders, 2022, presented at the Proceedings of the ACM Web Conference 2022
Practical Over-Threshold Multi-Party Private Set Intersection, 2020, published at the Annual Computer Security Applications Conference

Coauthor collaborations indicate frequent partnerships with:

Rasoul Akhavan Mahdavi
Nils Lukas
Simon Oya
Thomas Humphries
Daniel Bernau

Their main research fields and subfields consist of:

Computer Science
Artificial Intelligence
Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Computer Networks and Communications
Information Systems

Main topics addressed in their work cover:

Cryptography and Data Security
Privacy-Preserving Technologies in Data
Adversarial Robustness in Machine Learning
Complexity and Algorithms in Graphs
Privacy, Security, and Data Protection
Internet Traffic Analysis and Secure E-voting
Security and Verification in Computing

Throughout their career, Florian Kerschbaum has received distinctions such as the ACM Senior Member award in 2014 and the ACM Distinguished Member award in 2019.

Best Publications

Natural Language Watermarking: Design, Analysis, and a Proof-of-Concept Implementation

Mikhail J. Atallah;Victor Raskin;Michael Crogan;Christian Hempelmann

332
Citations
Secure and private sequence comparisons

Mikhail J. Atallah;Florian Kerschbaum;Wenliang Du

256
Citations
Searchable Encryption with Secure and Efficient Updates

Florian Hahn;Florian Kerschbaum

244
Citations
Frequency-Hiding Order-Preserving Encryption

Florian Kerschbaum

205
Citations
Analysis of vulnerabilities in Internet firewalls

Seny Kamara;Sonia Fahmy;Eugene Schultz;Florian Kerschbaum

199
Citations
Outsourced private set intersection using homomorphic encryption

Florian Kerschbaum

191
Citations
Zero-knowledge using garbled circuits: how to prove non-algebraic statements efficiently

Marek Jawurek;Florian Kerschbaum;Claudio Orlandi

185
Citations
Optimal Average-Complexity Ideal-Security Order-Preserving Encryption

Florian Kerschbaum;Axel Schroepfer

171
Citations
Plug-in privacy for smart metering billing

Marek Jawurek;Martin Johns;Florian Kerschbaum

164
Citations
HardIDX: Practical and Secure Index with SGX

Benny Fuhry;Raad Bahmani;Ferdinand Brasser;Florian Hahn

123
Citations
Fault-tolerant privacy-preserving statistics

Marek Jawurek;Florian Kerschbaum

113
Citations
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks

Tianhao Wang;Florian Kerschbaum

104
Citations
PathTrust: a trust-based reputation service for virtual organization formation

Florian Kerschbaum;Jochen Haller;Yücel Karabulut;Philip Robinson

98
Citations
Privacy Technologies for Smart Grids - A Survey of Options

Marek Jawurek;Florian Kerschbaum;George Danezis

93
Citations
Symmetric-Key Based Proofs of Retrievability Supporting Public Verification

Chaowen Guan;Kui Ren;Fangguo Zhang;Florian Kerschbaum

86
Citations
Strain : A Secure Auction for Blockchains

Erik-Oliver Blass;Florian Kerschbaum

82
Citations
Collusion-resistant outsourcing of private set intersection

Florian Kerschbaum

80
Citations
Secure collaborative supply chain planning and inverse optimization ― The JELS model

Richard Pibernik;Yingying Zhang;Florian Kerschbaum;Axel Schröpfer

76
Citations
Attacks on Digital Watermarks for Deep Neural Networks

Tianhao Wang;Florian Kerschbaum

72
Citations
Performance Comparison of Secure Comparison Protocols

Florian Kerschbaum;Debmalya Biswas;Sebastiaan de Hoogh

70
Citations
Privacy and Integrity Considerations in Hyperconnected Autonomous Vehicles

Stamatis Karnouskos;Florian Kerschbaum

69
Citations
On the Robustness of Backdoor-based Watermarking in Deep Neural Networks

Masoumeh Shafieinejad;Nils Lukas;Jiaqi Wang;Xinda Li

41
Citations

Frequent Co-Authors

Stefan Katzenbeisser University of Passau

Thomas Schneider Technical University of Darmstadt

Ernesto Damiani Khalifa University

Ahmad-Reza Sadeghi Technical University of Darmstadt

Eric Bodden University of Paderborn

Mikhail J. Atallah Purdue University West Lafayette

Edgar R. Weippl University of Vienna

Ihab F. Ilyas University of Waterloo

Eugene H. Spafford Purdue University West Lafayette

Stefano Paraboschi University of Bergamo

External Links

Personal website of Florian Kerschbaum Google Scholar page

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