Florian Kerschbaum

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 133

Top Venues

CoRR

Proc. Priv. Enhancing Technol.

CCS

USENIX Security Symposium

Karlsruhe Institute of Technology (PHD)

Education History

Karlsruhe Institute of Technology

PHD

Publications

Benjamin Schneider, Nils Lukas, Florian Kerschbaum
Universal Backdoor Attacks. ICLR (2024)
Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum
Leveraging Optimization for Adaptive Attacks on Image Watermarks. ICLR (2024)
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
Differentially Private Data Generation with Missing Data. Proc. VLDB Endow. 17 (8) (2024)
Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. USENIX Security Symposium (2024)
Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. USENIX Security Symposium (2024)
Lucas Fenaux, Florian Kerschbaum
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge. CoRR (2024)
Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy. CoRR (2024)
Nils Lukas, Florian Kerschbaum
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification. CoRR (2023)
Erik-Oliver Blass, Florian Kerschbaum
Private Collaborative Data Cleaning via Non-Equi PSI. SP (2023)
Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. CoRR (2023)
Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
Identifying and Mitigating the Security Risks of Generative AI. CoRR (2023)
Lucas Fenaux, Thomas Humphries, Florian Kerschbaum
Gaggle: Genetic Algorithms on the GPU using PyTorch. GECCO Companion (2023)
Nils Lukas, Florian Kerschbaum
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators. USENIX Security Symposium (2023)
Thomas Humphries, Florian Kerschbaum
Differentially Private Simple Genetic Algorithms. Proc. Priv. Enhancing Technol. 2023 (4) (2023)
Rasoul Akhavan Mahdavi, Haoyan Ni, Dimitry Linkov, Florian Kerschbaum
Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption. CCS (2023)
Rasoul Akhavan Mahdavi, Abdulrahman Diaa, Florian Kerschbaum
HE is all you need: Compressing FHE Ciphertexts using Additive HE. CoRR (2023)
Ruidi Wei, Florian Kerschbaum
Cryptographically Secure Private Record Linkage Using Locality-Sensitive Hashing. Proc. VLDB Endow. 17 (2) (2023)
Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang
Backdooring Textual Inversion for Concept Censorship. CoRR (2023)
Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. CoRR (2023)
Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6 (1) (2023)
Sina Faraji, Florian Kerschbaum
Trifecta: Faster High-Throughput Three-Party Computation over WAN Using Multi-Fan-In Logic Gates. Proc. Priv. Enhancing Technol. 2023 (4) (2023)
Erik-Oliver Blass, Florian Kerschbaum
Private Collaborative Data Cleaning via Non-Equi PSI. SP (2023)
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
Differentially Private Data Generation with Missing Data. CoRR (2023)
Rasoul Akhavan Mahdavi, Haoyan Ni, Dimitry Linkov, Florian Kerschbaum
Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption. CoRR (2023)
Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, Florian Kerschbaum
Comprehension from Chaos: Towards Informed Consent for Private Computation. CCS (2023)
Benjamin Schneider, Nils Lukas, Florian Kerschbaum
Universal Backdoor Attacks. CoRR (2023)
Thomas Humphries, Simon Oya, Lindsey Tulloch, Matthew Rafuse, Ian Goldberg, Urs Hengartner, Florian Kerschbaum
Investigating Membership Inference Attacks under Data Dependencies. CSF (2023)
Nils Lukas, Florian Kerschbaum
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators. CoRR (2023)
Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum
Leveraging Optimization for Adaptive Attacks on Image Watermarks. CoRR (2023)
Sujaya Maiyya, Sharath Chandra Vemula, Divyakant Agrawal, Amr El Abbadi, Florian Kerschbaum
Waffle: An Online Oblivious Datastore for Protecting Data Access Patterns. Proc. ACM Manag. Data 1 (4) (2023)
Florian Kerschbaum, Nils Lukas
Privacy-Preserving Machine Learning [Cryptography]. IEEE Secur. Priv. 21 (6) (2023)
Florian Kerschbaum, Erik-Oliver Blass, Rasoul Akhavan Mahdavi
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection. NDSS (2023)
Sujaya Maiyya, Sharath Vemula, Divyakant Agrawal, Amr El Abbadi, Florian Kerschbaum
Waffle: An Online Oblivious Datastore for Protecting Data Access Patterns. IACR Cryptol. ePrint Arch. 2023 (2023)
Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum
Equi-Joins over Encrypted Data for Series of Queries. ICDE (2022)
Daniel Bernau, Jonas Robl, Florian Kerschbaum
Assessing Differentially Private Variational Autoencoders Under Membership Inference. DBSec (2022)
Florian Kerschbaum, Michelle L. Mazurek
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022 (1) (2022)
Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang
Towards Robust Dataset Learning. CoRR (2022)
Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum
Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics. CCS (2022)
Simon Oya, Florian Kerschbaum
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. USENIX Security Symposium (2022)
Erik-Oliver Blass, Florian Kerschbaum
Mixed-Technique Multi-Party Computations Composed of Two-Party Computations. ESORICS (3) (2022)
Andreas Fischer, Benny Fuhry, Jörn Kußmaul, Jonas Janneck, Florian Kerschbaum, Eric Bodden
Computation on Encrypted Data Using Dataflow Authentication. ACM Trans. Priv. Secur. 25 (3) (2022)
Justus Mattern, Benjamin Weggenmann, Florian Kerschbaum
The Limits of Word Level Differential Privacy. CoRR (2022)
Justus Mattern, Benjamin Weggenmann, Florian Kerschbaum
The Limits of Word Level Differential Privacy. NAACL-HLT (Findings) (2022)
Florian Kerschbaum, Michelle L. Mazurek
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022 (2) (2022)
Florian Kerschbaum, Erik-Oliver Blass, Rasoul Akhavan Mahdavi
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection. CoRR (2022)
Erik-Oliver Blass, Florian Kerschbaum, Travis Mayberry
Iterative Oblivious Pseudo-Random Functions and Applications. AsiaCCS (2022)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum
SoK: How Robust is Image Classification Deep Neural Network Watermarking? IEEE Symposium on Security and Privacy (2022)
Florian Kerschbaum, Michelle L. Mazurek
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, Florian Kerschbaum
Comprehension from Chaos: What Users Understand and Expect from Private Computation. CoRR (2022)
Daniel Bernau, Jonas Robl, Florian Kerschbaum
Assessing Differentially Private Variational Autoencoders under Membership Inference. CoRR (2022)
Bailey Kacsmar, Kyle Tilbury, Miti Mazmudar, Florian Kerschbaum
Caring about Sharing: User Perceptions of Multiparty Data Sharing. USENIX Security Symposium (2022)
Benjamin Weggenmann, Valentin Rublack, Michael Andrejczuk, Justus Mattern, Florian Kerschbaum
DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders. WWW (2022)
Rasoul Akhavan Mahdavi, Florian Kerschbaum
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. USENIX Security Symposium (2022)
Rasoul Akhavan Mahdavi, Florian Kerschbaum
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. CoRR (2022)
Erik-Oliver Blass, Florian Kerschbaum
Private Collaborative Data Cleaning via Non-Equi PSI. IACR Cryptol. ePrint Arch. 2022 (2022)
Florian Kerschbaum, Michelle L. Mazurek
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Tianhao Wang, Florian Kerschbaum
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. WWW (2021)
Aaron Johnson, Florian Kerschbaum
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Maryam Sepehri, Florian Kerschbaum
Low-Cost Hiding of the Query Pattern. AsiaCCS (2021)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). CoRR (2021)
Simon Oya, Florian Kerschbaum
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption. USENIX Security Symposium (2021)
Benjamin Weggenmann, Florian Kerschbaum
Differential Privacy for Directional Data. CCS (2021)
Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum
Quantifying identifiability to choose and audit epsilon in differentially private deep learning. Proc. VLDB Endow. 14 (13) (2021)
Jiaxiang Liu, Simon Oya, Florian Kerschbaum
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference. CoRR (2021)
Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum
Comparing Local and Central Differential Privacy Using Membership Inference Attacks. DBSec (2021)
Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
PCOR: Private Contextual Outlier Release via Differentially Private Search. SIGMOD Conference (2021)
Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum
Obfuscated Access and Search Patterns in Searchable Encryption. CoRR (2021)
Erik-Oliver Blass, Florian Kerschbaum, Travis Mayberry
Iterative Oblivious Pseudo-Random Functions and Applications. IACR Cryptol. ePrint Arch. 2021 (2021)
Aaron Johnson, Florian Kerschbaum
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021 (1) (2021)
Aaron Johnson, Florian Kerschbaum
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
Simon Oya, Florian Kerschbaum
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. CoRR (2021)
Aaron Johnson, Florian Kerschbaum
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021 (3) (2021)
Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
PCOR: Private Contextual Outlier Release via Differentially Private Search. CoRR (2021)
Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum
Equi-Joins Over Encrypted Data for Series of Queries. CoRR (2021)
Benny Fuhry, Jayanth Jain H. A, Florian Kerschbaum
EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database Using Enclaves. DSN (2021)
Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. ICLR (2021)
Florian Kerschbaum
Towards Privacy in Deep Learning. TPS-ISA (2021)
Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics. CoRR (2021)
Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum
Obfuscated Access and Search Patterns in Searchable Encryption. NDSS (2021)
Jonas Böhler, Florian Kerschbaum
Secure Multi-party Computation of Differentially Private Heavy Hitters. CCS (2021)
Chan Nam Ngo, Fabio Massacci, Florian Kerschbaum, Julian Williams
Practical Witness-Key-Agreement for Blockchain-Based Dark Pools Financial Trading. Financial Cryptography (2) (2021)
Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum
Quantifying identifiability to choose and audit ε in differentially private deep learning. CoRR (2021)
Masoumeh Shafieinejad, Nils Lukas, Jiaqi Wang, Xinda Li, Florian Kerschbaum
On the Robustness of Backdoor-based Watermarking in Deep Neural Networks. IH&MMSec (2021)
Timon Hackenjos, Florian Hahn, Florian Kerschbaum
SAGMA: Secure Aggregation Grouped by Multiple Attributes. SIGMOD Conference (2020)
Jonas Böhler, Florian Kerschbaum
Secure Sublinear Time Differentially Private Median Computation. NDSS (2020)
Andreas Fischer, Jonas Janneck, Jörn Kussmaul, Nikolas Krätzschmar, Florian Kerschbaum, Eric Bodden
PASAPTO: Policy-aware Security and Performance Trade-off Analysis-Computation on Encrypted Data with Restricted Leakage. CSF (2020)
Anselme Tueno, Florian Kerschbaum
Efficient Secure Computation of Order-Preserving Encryption. AsiaCCS (2020)
Simeon Krastnikov, Florian Kerschbaum, Douglas Stebila
Efficient Oblivious Database Joins. CoRR (2020)
Erik-Oliver Blass, Florian Kerschbaum
BOREALIS: Building Block for Sealed Bid Auctions on Blockchains. AsiaCCS (2020)
Andreas Fischer, Benny Fuhry, Florian Kerschbaum, Eric Bodden
Computation on Encrypted Data using Dataflow Authentication. Proc. Priv. Enhancing Technol. 2020 (1) (2020)
Bailey Kacsmar, Chelsea Komlo, Florian Kerschbaum, Ian Goldberg
Mind the Gap: Ceremonies for Applied Secret Sharing. Proc. Priv. Enhancing Technol. 2020 (2) (2020)
Simon Oya, Florian Kerschbaum
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption. CoRR (2020)
Anselme Tueno, Yordan Boev, Florian Kerschbaum
Non-interactive Private Decision Tree Evaluation. DBSec (2020)
Simeon Krastnikov, Florian Kerschbaum, Douglas Stebila
Efficient Oblivious Database Joins. Proc. VLDB Endow. 13 (11) (2020)
Basit Khurram, Florian Kerschbaum
SFour: A Protocol for Cryptographically Secure Record Linkage at Scale. ICDE (2020)
Thomas Humphries, Matthew Rafuse, Lindsey Tulloch, Simon Oya, Ian Goldberg, Florian Kerschbaum
Differentially Private Learning Does Not Bound Membership Inference. CoRR (2020)
Benny Fuhry, Lina Hirschoff, Samuel Koesnadi, Florian Kerschbaum
SeGShare: Secure Group File Sharing in the Cloud using Enclaves. DSN (2020)
Jonas Böhler, Florian Kerschbaum
Secure Multi-party Computation of Differentially Private Median. USENIX Security Symposium (2020)
Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser, Yordan Boev, Mubashir Qureshi
-Ranked Element in a Star Network. Financial Cryptography (2020)
Bailey Kacsmar, Basit Khurram, Nils Lukas, Alexander Norton, Masoumeh Shafieinejad, Zhiwei Shang, Yaser Baseri, Maryam Sepehri, Simon Oya, Florian Kerschbaum
Differentially Private Two-Party Set Operations. EuroS&P (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Florian Kerschbaum