Natural Language Watermarking: Design, Analysis, and a Proof-of-Concept Implementation. - Mikhail J. Atallah; Victor Raskin; Michael Crogan; Christian Hempelmann; Florian Kerschbaum; Dina Mohamed; Sanket Naik (Information Hiding, 2001)

A Framework for Understanding Vulnerabilities in Firewalls Using a Dataflow Model of Firewall Internals. - Michael Frantzen; Florian Kerschbaum; E. Eugene Schultz; Sonia Fahmy (Comput. Secur., 2001)

Using Internal Sensors and Embedded Detectors for Intrusion Detection. - Florian Kerschbaum; Eugene H. Spafford; Diego Zamboni (J. Comput. Secur., 2002)

Secure and private sequence comparisons. - Mikhail J. Atallah; Florian Kerschbaum; Wenliang Du (WPES, 2003)

Analysis of vulnerabilities in Internet firewalls. - Seny Kamara; Sonia Fahmy; E. Eugene Schultz; Florian Kerschbaum; Michael Frantzen (Comput. Secur., 2003)

Private Fingerprint Verification without Local Storage. - Florian Kerschbaum; Mikhail J. Atallah; David M'Raïhi; John R. Rice (ICBA, 2004)

From Business Process Choreography to Authorization Policies. - Philip Robinson; Florian Kerschbaum; Andreas Schaad (DBSec, 2006)

Filtering for Private Collaborative Benchmarking. - Florian Kerschbaum; Orestis Terzidis (ETRICS, 2006)

PathTrust: A Trust-Based Reputation Service for Virtual Organization Formation. - Florian Kerschbaum; Jochen Haller; Yücel Karabulut; Philip Robinson (iTrust, 2006)

Practical Private Regular Expression Matching. - Florian Kerschbaum (SEC, 2006)

A comprehensive security architecture for dynamic, web service based virtual organizations for businesses. - Rafael Deitos; Florian Kerschbaum; Philip Robinson (SWS, 2006)

Security and Trust in IT Business Outsourcing: a Manifesto. - Yücel Karabulut; Florian Kerschbaum; Fabio Massacci; Philip Robinson; Artsiom Yautsiukhin (STM, 2006)

Privacy-preserving logical vector clocks using secure computation techniques. - Florian Kerschbaum; Julien Vayssière (ICPADS, 2007)

Simple cross-site attack prevention. - Florian Kerschbaum (SecureComm, 2007)

A New Way to Think About Secure Computation: Language-based Secure Computation. - Florian Kerschbaum (WOSIS, 2007)

Securing VO Management. - Florian Kerschbaum; Rafael Deitos; Philip Robinson (TrustBus, 2007)

Distance-preserving pseudonymization for timestamps and spatial data. - Florian Kerschbaum (WPES, 2007)

Fostering the Uptake of Secure Multiparty Computation in E-Commerce. - Octavian Catrina; Florian Kerschbaum (ARES, 2008)

Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality. - Ulrich Flegel; Florian Kerschbaum; Richard Wacker (Countering Insider Threats, 2008)

Industrial Privacy in RFID-based Batch Recalls. - Leonardo Weiss Ferreira Chaves; Florian Kerschbaum (EDOCW, 2008)

Practical Privacy-Preserving Benchmarking. - Florian Kerschbaum (SEC, 2008)

Security against the business partner. - Florian Kerschbaum; Rafael Deitos (SWS, 2008)

Privacy-preserving data analytics as an outsourced service. - Florian Kerschbaum; Julien Vayssière (SWS, 2008)

Privacy-preserving social network analysis for criminal investigations. - Florian Kerschbaum; Andreas Schaad (WPES, 2008)

Building a privacy-preserving benchmarking enterprise system. - Florian Kerschbaum (Enterp. Inf. Syst., 2008)

Adapting Privacy-Preserving Computation to the Service Provider Model. - Florian Kerschbaum (CSE (3), 2009)

Improving Practical Performance on Secure and Private Collaborative Linear Programming. - Rafael Deitos; Florian Kerschbaum (DEXA Workshops, 2009)

Performance Comparison of Secure Comparison Protocols. - Florian Kerschbaum; Debmalya Biswas; Sebastiaan de Hoogh (DEXA Workshops, 2009)

Editorial to the second workshop on Security and Privacy in Enterprise Computing (InSPEC09). - Rafael Accorsi; Ernesto Damiani; Frank Innerhofer-Oberperfler; Florian Kerschbaum (EDOCW, 2009)

Practical privacy-preserving protocols for criminal investigations. - Florian Kerschbaum; Andreas Schaad; Debmalya Biswas (ISI, 2009)

On the practical importance of communication complexity for secure multi-party computation protocols. - Florian Kerschbaum; Daniel Dahlmeier; Axel Schröpfer; Debmalya Biswas (SAC, 2009)

Risk-Aware Secure Supply Chain Master Planning. - Axel Schröpfer; Florian Kerschbaum; Dagmar Sadkowiak; Richard Pibernik (WOSIS, 2009)

RFID-based supply chain partner authentication and key agreement. - Florian Kerschbaum; Alessandro Sorniotti (WISEC, 2009)

A verifiable, centralized, coercion-free reputation system. - Florian Kerschbaum (WPES, 2009)

Parallelizing secure linear programming. - Rafael Deitos; Florian Kerschbaum (Concurr. Comput. Pract. Exp., 2009)

Security architecture for virtual organizations of business web services. - Florian Kerschbaum; Philip Robinson (J. Syst. Archit., 2009)

Optimizations for Risk-Aware Secure Supply Chain Master Planning. - Axel Schröpfer; Florian Kerschbaum; Christoph G. Schütz; Richard Pibernik (J. Univers. Comput. Sci., 2009)

Searchable Encryption for Outsourced Data Analytics. - Florian Kerschbaum; Alessandro Sorniotti (EuroPKI, 2010)

Leakage Quantification of Cryptographic Operations. - Michael Wibmer; Debmalya Biswas; Florian Kerschbaum (OTM Conferences (1), 2010)

Privacy-Preserving Pattern Matching for Anomaly Detection in RFID Anti-Counterfeiting. - Florian Kerschbaum; Nina Oertel (RFIDSec, 2010)

An access control model for mobile physical objects. - Florian Kerschbaum (SACMAT, 2010)

Privacy-Preserving Outsourced Profiling. - Debmalya Biswas; Stephan Haller; Florian Kerschbaum (CEC, 2010)

Privacy-preserving computation of benchmarks on item-level data using RFID. - Florian Kerschbaum; Nina Oertel; Leonardo Weiss Ferreira Chaves (WISEC, 2010)

Privacy-Preserving Multi-Objective Evolutionary Algorithms. - Daniel Funke; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2010)

L1 - An Intermediate Language for Mixed-Protocol Secure Computation. - Axel Schröpfer; Florian Kerschbaum; Günter Müller (IACR Cryptol. ePrint Arch., 2010)

A privacy-preserving benchmarking platform. - Florian Kerschbaum (2010)

Legally Sustainable Solutions for Privacy Issues in Collaborative Fraud Detection. - Ulrich Flegel; Florian Kerschbaum; Philip Miseldine; Ganna Monakova; Richard Wacker; Frank Leymann (Insider Threats in Cyber Security, 2010)

Secure Sharing of Item-Level Data in the Cloud. - Florian Kerschbaum; Leonardo Weiss Ferreira Chaves (IEEE CLOUD, 2011)

Automatically optimizing secure computation. - Florian Kerschbaum (CCS, 2011)

Demo: secure computation in JavaScript. - Axel Schröpfer; Florian Kerschbaum (CCS, 2011)

Privacy-enhanced reputation-feedback methods to reduce feedback extortion in online auctions. - Michael T. Goodrich; Florian Kerschbaum (CODASPY, 2011)

Public-Key Encrypted Bloom Filters with Applications to Supply Chain Integrity. - Florian Kerschbaum (DBSec, 2011)

Securely disseminating RFID events. - Florian Kerschbaum (DEBS, 2011)

Confidential Information-Sharing for Automated Sustainability Benchmarks. - Florian Kerschbaum; Jens Strüker; Thomas G. Koslowski (ICIS, 2011)

Towards Privacy-Preserving XML Transformation. - Meiko Jensen; Florian Kerschbaum (ICWS, 2011)

Secure conjunctive keyword searches for unstructured text. - Florian Kerschbaum (NSS, 2011)

Plug-In Privacy for Smart Metering Billing. - Marek Jawurek; Martin Johns; Florian Kerschbaum (PETS, 2011)

Forecasting Run-Times of Secure Two-Party Computation. - Axel Schröpfer; Florian Kerschbaum (QEST, 2011)

Practical Privacy-Preserving Multiparty Linear Programming Based on Problem Transformation. - Jannik Dreier; Florian Kerschbaum (SocialCom/PASSAT, 2011)

NAT/Firewall traversal cost model for publish-subscribe systems. - Debmalya Biswas; Kathryn Bean; Florian Kerschbaum (ICPE, 2011)

Secure and Sustainable Benchmarking in Clouds - A Multi-Party Cloud Application with an Untrusted Service Provider. - Florian Kerschbaum (Bus. Inf. Syst. Eng., 2011)

Secure Collaborative Supply-Chain Management. - Florian Kerschbaum; Axel Schröpfer; Antonio Zilli; Richard Pibernik; Octavian Catrina; Sebastiaan de Hoogh; Berry Schoenmakers; Stelvio Cimato; Ernesto Damiani (Computer, 2011)

Secure collaborative supply chain planning and inverse optimization - The JELS model. - Richard Pibernik; Yingying Zhang; Florian Kerschbaum; Axel Schröpfer (Eur. J. Oper. Res., 2011)

Practical Secure and Efficient Multiparty Linear Programming Based on Problem Transformation. - Jannik Dreier; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2011)

Sicheres und nachhaltiges Benchmarking in der Cloud - Eine Mehrparteien-Cloud-Anwendung ohne vertrauenswürdigen Dienstanbieter. - Florian Kerschbaum (Wirtschaftsinf., 2011)

Privacy-Preserving Computation - (Position Paper). - Florian Kerschbaum (APF, 2012)

Outsourced private set intersection using homomorphic encryption. - Florian Kerschbaum (AsiaCCS, 2012)

From a Barrier to a Bridge: Data-Privacy in Deregulated Smart Grids. - Jens Strüker; Florian Kerschbaum (ICIS, 2012)

Encrypted Searchable Storage of RFID Tracking Data. - Florian Kerschbaum; Leonardo Weiss Ferreira Chaves (MDM, 2012)

Fault-Tolerant Privacy-Preserving Statistics. - Marek Jawurek; Florian Kerschbaum (Privacy Enhancing Technologies, 2012)

Collusion-resistant outsourcing of private set intersection. - Florian Kerschbaum (SAC, 2012)

Encryption-enforced access control for an RFID discovery service. - Florian Kerschbaum; Leonardo Weiss Ferreira Chaves (SACMAT, 2012)

Privacy-Preserving Techniques and System for Streaming Databases. - Anderson Santana de Oliveira; Florian Kerschbaum; Hoon Wei Lim; Su-Yang Yu (SocialCom/PASSAT, 2012)

Workflow Signatures for Business Process Compliance. - Hoon Wei Lim; Florian Kerschbaum; Huaxiong Wang (IEEE Trans. Dependable Secur. Comput., 2012)

Approximate Two-Party Privacy-Preserving String Matching with Linear Complexity. - Martin Beck; Florian Kerschbaum (BigData Congress, 2013)

k-anonymous reputation. - Sebastian Clauß 001; Stefan Schiffner; Florian Kerschbaum (AsiaCCS, 2013)

An information-flow type-system for mixed protocol secure computation. - Florian Kerschbaum (AsiaCCS, 2013)

Adjustably encrypted in-memory column-store. - Florian Kerschbaum; Patrick Grofig; Isabelle Hang; Martin Härterich; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (CCS, 2013)

Efficient secure computation optimization. - Raphael Urmoneit; Florian Kerschbaum (PETShop@CCS, 2013)

Expression rewriting for optimizing secure computation. - Florian Kerschbaum (CODASPY, 2013)

Optimal Re-encryption Strategy for Joins in Encrypted Databases. - Florian Kerschbaum; Martin Härterich; Patrick Grofig; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (DBSec, 2013)

An Encrypted In-Memory Column-Store: The Onion Selection Problem. - Florian Kerschbaum; Martin Härterich; Mathias Kohler; Isabelle Hang; Andreas Schaad; Axel Schröpfer; Walter Tighzert (ICISS, 2013)

Searching over encrypted data in cloud systems. - Florian Kerschbaum (SACMAT, 2013)

Secure benchmarking in the cloud. - Axel Schröpfer; Andreas Schaad; Florian Kerschbaum; Heiko Boehm; Joerg Jooss (SACMAT, 2013)

Zero-Knowledge Using Garbled Circuits: How To Prove Non-Algebraic Statements Efficiently. - Marek Jawurek; Florian Kerschbaum; Claudio Orlandi (IACR Cryptol. ePrint Arch., 2013)

Privacy-Preserving Billing for e-Ticketing Systems in Public Transportation. - Florian Kerschbaum; Hoon Wei Lim; Ivan Gudymenko (IACR Cryptol. ePrint Arch., 2013)

Privacy by Encrypted Databases. - Patrick Grofig; Isabelle Hang; Martin Härterich; Florian Kerschbaum; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (APF, 2014)

Searchable Encryption with Secure and Efficient Updates. - Florian Hahn 001; Florian Kerschbaum (CCS, 2014)

Client-Controlled Cloud Encryption. - Florian Kerschbaum (CCS, 2014)

Optimal Average-Complexity Ideal-Security Order-Preserving Encryption. - Florian Kerschbaum; Axel Schröpfer (CCS, 2014)

What are the most important challenges for access control in new computing domains, such as mobile, cloud and cyber-physical systems? - Lujo Bauer; Florian Kerschbaum (SACMAT, 2014)

Optimized and controlled provisioning of encrypted outsourced data. - Andreas Schaad; Anis Bkakria; Florian Kerschbaum; Frédéric Cuppens; Nora Cuppens-Boulahia; David Gross-Amblard (SACMAT, 2014)

Experiences and observations on the industrial implementation of a system to search over outsourced encrypted data. - Patrick Grofig; Martin Härterich; Isabelle Hang; Florian Kerschbaum; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (Sicherheit, 2014)

Inference Control for Privacy-Preserving Genome Matching. - Florian Kerschbaum; Martin Beck; Dagmar Schönfeld (CoRR, 2014)

The Synergy Between Programming Languages and Cryptography (Dagstuhl Seminar 14492). - Gilles Barthe; Michael Hicks 001; Florian Kerschbaum; Dominique Unruh (Dagstuhl Reports, 2014)

Automatic Protocol Selection in Secure Two-Party Computations. - Florian Kerschbaum; Thomas Schneider 003; Axel Schröpfer (IACR Cryptol. ePrint Arch., 2014)

Frequency-Hiding Order-Preserving Encryption. - Florian Kerschbaum (CCS, 2015)

CCSW 2015: The 7th ACM Cloud Computing Security Workshop. - Florian Kerschbaum; Cristina Nita-Rotaru; Indrajit Ray (CCS, 2015)

Symmetric-Key Based Proofs of Retrievability Supporting Public Verification. - Chaowen Guan; Kui Ren 001; Fangguo Zhang; Florian Kerschbaum; Jia Yu 003 (ESORICS (1), 2015)

Privacy-Preserving Observation in Public Spaces. - Florian Kerschbaum; Hoon Wei Lim (ESORICS (2), 2015)

Oblivious outsourcing of garbled circuit generation. - Florian Kerschbaum (SAC, 2015)

ENKI: Access Control for Encrypted Query Processing. - Isabelle Hang; Florian Kerschbaum; Ernesto Damiani (SIGMOD Conference, 2015)

Encrypting Analytical Web Applications. - Benny Fuhry; Walter Tighzert; Florian Kerschbaum (CCSW, 2016)

Poly-Logarithmic Range Queries on Encrypted Data with Small Leakage. - Florian Hahn 001; Florian Kerschbaum (CCSW, 2016)

WISCS'16: The 3rd ACM Workshop on Information Sharing and Collaborative Security. - Florian Kerschbaum; Erik-Oliver Blass; Tomas Sander (CCS, 2016)

Selective access for supply chain management in the cloud. - Anselme Tueno; Florian Kerschbaum; Daniel Bernau; Sara Foresti (CNS, 2017)

Privacy-Preserving Outlier Detection for Data Streams. - Jonas Böhler; Daniel Bernau; Florian Kerschbaum (DBSec, 2017)

HardIDX: Practical and Secure Index with SGX. - Benny Fuhry; Raad Bahmani; Ferdinand Brasser; Florian Hahn 001; Florian Kerschbaum; Ahmad-Reza Sadeghi (DBSec, 2017)

Searchable Encryption to Reduce Encryption Degradation in Adjustably Encrypted Databases. - Florian Kerschbaum; Martin Härterich (DBSec, 2017)

Computation on Encrypted Data using Data Flow Authentication. - Andreas Fischer 011; Benny Fuhry; Florian Kerschbaum; Eric Bodden (CoRR, 2017)

Strain: A Secure Auction for Blockchains. - Erik-Oliver Blass; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2017)

SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining. - Benjamin Weggenmann; Florian Kerschbaum (SIGIR, 2018)

Practical and Secure Substring Search. - Florian Hahn 001; Nicolas Loza; Florian Kerschbaum (SIGMOD Conference, 2018)

Secure Range Queries for Multiple Users. - Anselme Tueno; Florian Kerschbaum (CoRR, 2018)

HardIDX: Practical and secure index with SGX in a malicious environment. - Benny Fuhry; Raad Bahmani; Ferdinand Brasser; Florian Hahn 001; Florian Kerschbaum; Ahmad-Reza Sadeghi (J. Comput. Secur., 2018)

Privacy and Integrity Considerations in Hyperconnected Autonomous Vehicles. - Stamatis Karnouskos; Florian Kerschbaum (Proc. IEEE, 2018)

An Efficiently Searchable Encrypted Data Structure for Range Queries. - Florian Kerschbaum; Anselme Tueno (ESORICS (2), 2019)

Attacks on Digital Watermarks for Deep Neural Networks. - Tianhao Wang 006; Florian Kerschbaum (ICASSP, 2019)

Joins Over Encrypted Data with Fine Granular Security. - Florian Hahn 001; Nicolas Loza; Florian Kerschbaum (ICDE, 2019)

On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks. - Masoumeh Shafieinejad; Jiaqi Wang; Nils Lukas; Florian Kerschbaum (CoRR, 2019)

Secure Computation of the kth-Ranked Element in a Star Network. - Anselme Tueno; Florian Kerschbaum; Stefan Katzenbeisser 001; Yordan Boev; Mubashir Qureshi (CoRR, 2019)

Robust and Undetectable White-Box Watermarks for Deep Neural Networks. - Tianhao Wang 006; Florian Kerschbaum (CoRR, 2019)

Assessing differentially private deep learning with Membership Inference. - Daniel Bernau; Philip-William Grassal; Jonas Robl; Florian Kerschbaum (CoRR, 2019)

Secure Computation of the kth-ranked Integer on Blockchains. - Erik-Oliver Blass; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2019)

Private Evaluation of Decision Trees using Sublinear Cost. - Anselme Tueno; Florian Kerschbaum; Stefan Katzenbeisser 001 (Proc. Priv. Enhancing Technol., 2019)

Secure Multi-Party Functional Dependency Discovery. - Chang Ge 002; Ihab F. Ilyas; Florian Kerschbaum (Proc. VLDB Endow., 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)

BOREALIS: Building Block for Sealed Bid Auctions on Blockchains. - Erik-Oliver Blass; Florian Kerschbaum (AsiaCCS, 2020)

Efficient Secure Computation of Order-Preserving Encryption. - Anselme Tueno; Florian Kerschbaum (AsiaCCS, 2020)

PASAPTO: Policy-aware Security and Performance Trade-off Analysis-Computation on Encrypted Data with Restricted Leakage. - Andreas Fischer 011; Jonas Janneck; Jörn Kussmaul; Nikolas Krätzschmar; Florian Kerschbaum; Eric Bodden (CSF, 2020)

Non-interactive Private Decision Tree Evaluation. - Anselme Tueno; Yordan Boev; Florian Kerschbaum (DBSec, 2020)

SeGShare: Secure Group File Sharing in the Cloud using Enclaves. - Benny Fuhry; Lina Hirschoff; Samuel Koesnadi; Florian Kerschbaum (DSN, 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)

Secure Computation of the kth-Ranked Element in a Star Network. - Anselme Tueno; Florian Kerschbaum; Stefan Katzenbeisser 001; Yordan Boev; Mubashir Qureshi (Financial Cryptography, 2020)

SFour: A Protocol for Cryptographically Secure Record Linkage at Scale. - Basit Khurram; Florian Kerschbaum (ICDE, 2020)

Secure Sublinear Time Differentially Private Median Computation. - Jonas Böhler; Florian Kerschbaum (NDSS, 2020)

SAGMA: Secure Aggregation Grouped by Multiple Attributes. - Timon Hackenjos; Florian Hahn 001; Florian Kerschbaum (SIGMOD Conference, 2020)

Secure Multi-party Computation of Differentially Private Median. - Jonas Böhler; Florian Kerschbaum (USENIX Security Symposium, 2020)

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

Mixed-Technique, Maliciously-Secure, and Composed Multi-Party Computations. - Erik-Oliver Blass; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2020)

Computation on Encrypted Data using Dataflow Authentication. - Andreas Fischer 011; Benny Fuhry; Florian Kerschbaum; Eric Bodden (Proc. Priv. Enhancing Technol., 2020)

Mind the Gap: Ceremonies for Applied Secret Sharing. - Bailey Kacsmar; Chelsea Komlo; Florian Kerschbaum; Ian Goldberg (Proc. Priv. Enhancing Technol., 2020)

Efficient Oblivious Database Joins. - Simeon Krastnikov; Florian Kerschbaum; Douglas Stebila (Proc. VLDB Endow., 2020)

Low-Cost Hiding of the Query Pattern. - Maryam Sepehri; Florian Kerschbaum (AsiaCCS, 2021)

Secure Multi-party Computation of Differentially Private Heavy Hitters. - Jonas Böhler; Florian Kerschbaum (CCS, 2021)

Differential Privacy for Directional Data. - Benjamin Weggenmann; Florian Kerschbaum (CCS, 2021)

Comparing Local and Central Differential Privacy Using Membership Inference Attacks. - Daniel Bernau; Jonas Robl; Philip-William Grassal; Steffen Schneider 003; Florian Kerschbaum (DBSec, 2021)

EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database Using Enclaves. - Benny Fuhry; Jayanth Jain H. A; Florian Kerschbaum (DSN, 2021)

Practical Witness-Key-Agreement for Blockchain-Based Dark Pools Financial Trading. - Chan Nam Ngo; Fabio Massacci; Florian Kerschbaum; Julian Williams (Financial Cryptography (2), 2021)

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. - Nils Lukas; Yuxuan Zhang 001; Florian Kerschbaum (ICLR, 2021)

On the Robustness of Backdoor-based Watermarking in Deep Neural Networks. - Masoumeh Shafieinejad; Nils Lukas; Jiaqi Wang; Xinda Li 001; Florian Kerschbaum (IH&MMSec, 2021)

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

PCOR: Private Contextual Outlier Release via Differentially Private Search. - Masoumeh Shafieinejad; Florian Kerschbaum; Ihab F. Ilyas (SIGMOD Conference, 2021)

Towards Privacy in Deep Learning. - Florian Kerschbaum (TPS-ISA, 2021)

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

RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. - Tianhao Wang 006; Florian Kerschbaum (WWW, 2021)

Quantifying identifiability to choose and audit ε in differentially private deep learning. - Daniel Bernau; Günther Eibl; Philip-William Grassal; Hannah Keller; Florian Kerschbaum (CoRR, 2021)

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). - Nils Lukas; Edward Jiang; Xinda Li 001; Florian Kerschbaum (CoRR, 2021)

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

Iterative Oblivious Pseudo-Random Functions and Applications. - Erik-Oliver Blass; Florian Kerschbaum; Travis Mayberry (IACR Cryptol. ePrint Arch., 2021)

Editors' Introduction. - Aaron Johnson 001; Florian Kerschbaum (Proc. Priv. Enhancing Technol., 2021)

Quantifying identifiability to choose and audit epsilon in differentially private deep learning. - Daniel Bernau; Günther Eibl; Philip-William Grassal; Hannah Keller; Florian Kerschbaum (Proc. VLDB Endow., 2021)

Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics. - Thomas Humphries; Rasoul Akhavan Mahdavi; Shannon Veitch; Florian Kerschbaum (CCS, 2022)

Assessing Differentially Private Variational Autoencoders Under Membership Inference. - Daniel Bernau; Jonas Robl; Florian Kerschbaum (DBSec, 2022)

Mixed-Technique Multi-Party Computations Composed of Two-Party Computations. - Erik-Oliver Blass; Florian Kerschbaum (ESORICS (3), 2022)

Equi-Joins over Encrypted Data for Series of Queries. - Masoumeh Shafieinejad; Suraj Gupta; Jin Yang Liu; Koray Karabina; Florian Kerschbaum (ICDE, 2022)

The Limits of Word Level Differential Privacy. - Justus Mattern; Benjamin Weggenmann; Florian Kerschbaum (NAACL-HLT (Findings), 2022)

SoK: How Robust is Image Classification Deep Neural Network Watermarking? - Nils Lukas; Edward Jiang; Xinda Li 001; Florian Kerschbaum (SP, 2022)

Caring about Sharing: User Perceptions of Multiparty Data Sharing. - Bailey Kacsmar; Kyle Tilbury; Miti Mazmudar; Florian Kerschbaum (USENIX Security Symposium, 2022)

Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. - Rasoul Akhavan Mahdavi; Florian Kerschbaum (USENIX Security Symposium, 2022)

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

DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders. - Benjamin Weggenmann; Valentin Rublack; Michael Andrejczuk; Justus Mattern; Florian Kerschbaum (WWW, 2022)

Comprehension from Chaos: What Users Understand and Expect from Private Computation. - Bailey Kacsmar; Vasisht Duddu; Kyle Tilbury; Blase Ur; Florian Kerschbaum (CoRR, 2022)

Towards Robust Dataset Learning. - Yihan Wu; Xinda Li 001; Florian Kerschbaum; Heng Huang; Hongyang Zhang 001 (CoRR, 2022)

Private Collaborative Data Cleaning via Non-Equi PSI. - Erik-Oliver Blass; Florian Kerschbaum (IACR Cryptol. ePrint Arch., 2022)

Editors' Introduction. - Florian Kerschbaum; Michelle L. Mazurek (Proc. Priv. Enhancing Technol., 2022)

Computation on Encrypted Data Using Dataflow Authentication. - Andreas Fischer 011; Benny Fuhry; Jörn Kußmaul; Jonas Janneck; Florian Kerschbaum; Eric Bodden (ACM Trans. Priv. Secur., 2022)

Comprehension from Chaos: Towards Informed Consent for Private Computation. - Bailey Kacsmar; Vasisht Duddu; Kyle Tilbury; Blase Ur; Florian Kerschbaum (CCS, 2023)

Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption. - Rasoul Akhavan Mahdavi; Haoyan Ni; Dimitry Linkov; Florian Kerschbaum (CCS, 2023)

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

Gaggle: Genetic Algorithms on the GPU using PyTorch. - Lucas Fenaux; Thomas Humphries; Florian Kerschbaum (GECCO Companion, 2023)

Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection. - Florian Kerschbaum; Erik-Oliver Blass; Rasoul Akhavan Mahdavi (NDSS, 2023)

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators. - Nils Lukas; Florian Kerschbaum (USENIX Security Symposium, 2023)

HE is all you need: Compressing FHE Ciphertexts using Additive HE. - Rasoul Akhavan Mahdavi; Abdulrahman Diaa; Florian Kerschbaum (CoRR, 2023)

Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification. - Nils Lukas; Florian Kerschbaum (CoRR, 2023)

Backdooring Textual Inversion for Concept Censorship. - Yutong Wu 009; Jie Zhang 002; Florian Kerschbaum; Tianwei Zhang 004 (CoRR, 2023)

Identifying and Mitigating the Security Risks of Generative AI. - Clark W. Barrett; Brad Boyd; Ellie Burzstein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (CoRR, 2023)

Identifying and Mitigating the Security Risks of Generative AI. - Clark W. Barrett; Brad Boyd; Elie Bursztein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (Found. Trends Priv. Secur., 2023)

Privacy-Preserving Machine Learning [Cryptography]. - Florian Kerschbaum; Nils Lukas (IEEE Secur. Priv., 2023)

Cryptographically Secure Private Record Linkage Using Locality-Sensitive Hashing. - Ruidi Wei; Florian Kerschbaum (Proc. VLDB Endow., 2023)

Trifecta: Faster High-Throughput Three-Party Computation over WAN Using Multi-Fan-In Logic Gates. - Sina Faraji; Florian Kerschbaum (Proc. Priv. Enhancing Technol., 2023)

Differentially Private Simple Genetic Algorithms. - Thomas Humphries; Florian Kerschbaum (Proc. Priv. Enhancing Technol., 2023)

Waffle: An Online Oblivious Datastore for Protecting Data Access Patterns. - Sujaya Maiyya; Sharath Chandra Vemula; Divyakant Agrawal; Amr El Abbadi; Florian Kerschbaum (Proc. ACM Manag. Data, 2023)

Leveraging Optimization for Adaptive Attacks on Image Watermarks. - Nils Lukas; Abdulrahman Diaa; Lucas Fenaux; Florian Kerschbaum (ICLR, 2024)

Universal Backdoor Attacks. - Benjamin Schneider; Nils Lukas; Florian Kerschbaum (ICLR, 2024)

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)

SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge. - Lucas Fenaux; Florian Kerschbaum (CoRR, 2024)

FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy. - Abdulrahman Diaa; Thomas Humphries; Florian Kerschbaum (CoRR, 2024)

SilentWood: Private Inference Over Gradient-Boosting Decision Forests. - Ronny Ko; Rasoul Akhavan Mahdavi; Byoungwoo Yoon; Makoto Onizuka; Florian Kerschbaum (CoRR, 2024)

Differentially Private Data Generation with Missing Data. - Shubhankar Mohapatra; Jianqiao Zong; Florian Kerschbaum; Xi He 001 (Proc. VLDB Endow., 2024)

THEMIS: Regulating Textual Inversion for Personalized Concept Censorship. - Yutong Wu 009; Jie Zhang 002; Florian Kerschbaum; Tianwei Zhang 004 (NDSS, 2025)

OasisDB: An Oblivious and Scalable System for Relational Data. - Haseeb Ahmed; Nachiket Rao; Abdelkarim Kati; Florian Kerschbaum; Sujaya Maiyya (IACR Cryptol. ePrint Arch., 2025)

Private Shared Random Minimum Spanning Forests. - Marian Dietz; Florian Kerschbaum (Proc. Priv. Enhancing Technol., 2025)

ABC: Achieving Better Control of Visual Embeddings using VLLMs. - Benjamin Schneider; Florian Kerschbaum; Wenhu Chen (Trans. Mach. Learn. Res., 2025)

ABC: Achieving Better Control of Multimodal Embeddings using VLMs. - Benjamin Schneider; Florian Kerschbaum; Wenhu Chen (CoRR, 2025)

Privacy-Preserving Vertical K-Means Clustering. - Federico Mazzone; Trevor Brown 001; Florian Kerschbaum; Kevin H. Wilson; Maarten H. Everts; Florian Hahn 001; Andreas Peter 001 (CoRR, 2025)

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs. - Alireza Arbabi; Florian Kerschbaum (CoRR, 2025)

Optimal Pure Differentially Private Sparse Histograms in Near-Linear Deterministic Time. - Florian Kerschbaum; Steven Lee; Hao Wu (CoRR, 2025)