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2020 – today
- 2023
[c136]Florian Kerschbaum, Erik-Oliver Blass, Rasoul Akhavan Mahdavi:
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection. NDSS 2023- [i49]Rasoul Akhavan Mahdavi, Abdulrahman Diaa, Florian Kerschbaum:
HE is all you need: Compressing FHE Ciphertexts using Additive HE. CoRR abs/2303.09043 (2023) - [i48]Nils Lukas, Florian Kerschbaum:
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators. CoRR abs/2304.07361 (2023) - [i47]Nils Lukas, Florian Kerschbaum:
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification. CoRR abs/2305.09671 (2023) - 2022
- [j29]Florian Kerschbaum, Michelle L. Mazurek:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022(1): 1-5 (2022) - [j28]Florian Kerschbaum, Michelle L. Mazurek:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022(2): 1-5 (2022) - [j27]Florian Kerschbaum, Michelle L. Mazurek:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022(3): 1-5 (2022) - [j26]Florian Kerschbaum, Michelle L. Mazurek:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2022(4): 1-5 (2022) - [j25]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): 21:1-21:36 (2022) - [c135]Erik-Oliver Blass, Florian Kerschbaum, Travis Mayberry:
Iterative Oblivious Pseudo-Random Functions and Applications. AsiaCCS 2022: 28-41 - [c134]Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum:
Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics. CCS 2022: 1459-1472 - [c133]Daniel Bernau, Jonas Robl, Florian Kerschbaum:
Assessing Differentially Private Variational Autoencoders Under Membership Inference. DBSec 2022: 3-14 - [c132]Erik-Oliver Blass, Florian Kerschbaum:
Mixed-Technique Multi-Party Computations Composed of Two-Party Computations. ESORICS (3) 2022: 295-319 - [c131]Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum:
Equi-Joins over Encrypted Data for Series of Queries. ICDE 2022: 1635-1648 - [c130]Justus Mattern, Benjamin Weggenmann, Florian Kerschbaum:
The Limits of Word Level Differential Privacy. NAACL-HLT (Findings) 2022: 867-881 - [c129]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: 787-804 - [c128]Bailey Kacsmar, Kyle Tilbury, Miti Mazmudar, Florian Kerschbaum:
Caring about Sharing: User Perceptions of Multiparty Data Sharing. USENIX Security Symposium 2022: 899-916 - [c127]Rasoul Akhavan Mahdavi, Florian Kerschbaum:
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. USENIX Security Symposium 2022: 1723-1740 - [c126]Simon Oya, Florian Kerschbaum:
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. USENIX Security Symposium 2022: 2407-2424 - [c125]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: 721-731 - [i46]Rasoul Akhavan Mahdavi, Florian Kerschbaum:
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators. CoRR abs/2202.07569 (2022) - [i45]Daniel Bernau, Jonas Robl, Florian Kerschbaum:
Assessing Differentially Private Variational Autoencoders under Membership Inference. CoRR abs/2204.07877 (2022) - [i44]Justus Mattern, Benjamin Weggenmann, Florian Kerschbaum:
The Limits of Word Level Differential Privacy. CoRR abs/2205.02130 (2022) - [i43]Florian Kerschbaum, Erik-Oliver Blass, Rasoul Akhavan Mahdavi:
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection. CoRR abs/2209.13913 (2022) - [i42]Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, Florian Kerschbaum:
Comprehension from Chaos: What Users Understand and Expect from Private Computation. CoRR abs/2211.07026 (2022) - [i41]Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang:
Towards Robust Dataset Learning. CoRR abs/2211.10752 (2022) - [i40]Erik-Oliver Blass, Florian Kerschbaum:
Private Collaborative Data Cleaning via Non-Equi PSI. IACR Cryptol. ePrint Arch. 2022: 1465 (2022) - 2021
- [j24]Aaron Johnson, Florian Kerschbaum:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021(1): 1-4 (2021) - [j23]Aaron Johnson, Florian Kerschbaum:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021(2): 1-4 (2021) - [j22]Aaron Johnson, Florian Kerschbaum:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021(3): 1-4 (2021) - [j21]Aaron Johnson, Florian Kerschbaum:
Editors' Introduction. Proc. Priv. Enhancing Technol. 2021(4): 1-5 (2021) - [j20]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): 3335-3347 (2021) - [c124]Maryam Sepehri, Florian Kerschbaum:
Low-Cost Hiding of the Query Pattern. AsiaCCS 2021: 593-603 - [c123]Benjamin Weggenmann, Florian Kerschbaum:
Differential Privacy for Directional Data. CCS 2021: 1205-1222 - [c122]Jonas Böhler, Florian Kerschbaum:
Secure Multi-party Computation of Differentially Private Heavy Hitters. CCS 2021: 2361-2377 - [c121]Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum:
Comparing Local and Central Differential Privacy Using Membership Inference Attacks. DBSec 2021: 22-42 - [c120]Benny Fuhry, Jayanth Jain H. A, Florian Kerschbaum:
EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database Using Enclaves. DSN 2021: 438-450 - [c119]Chan Nam Ngo, Fabio Massacci, Florian Kerschbaum, Julian Williams:
Practical Witness-Key-Agreement for Blockchain-Based Dark Pools Financial Trading. Financial Cryptography (2) 2021: 579-598 - [c118]Nils Lukas, Yuxuan Zhang, Florian Kerschbaum:
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. ICLR 2021 - [c117]Masoumeh Shafieinejad, Nils Lukas, Jiaqi Wang, Xinda Li, Florian Kerschbaum:
On the Robustness of Backdoor-based Watermarking in Deep Neural Networks. IH&MMSec 2021: 177-188 - [c116]Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum:
Obfuscated Access and Search Patterns in Searchable Encryption. NDSS 2021 - [c115]Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas:
PCOR: Private Contextual Outlier Release via Differentially Private Search. SIGMOD Conference 2021: 1571-1583 - [c114]Florian Kerschbaum:
Towards Privacy in Deep Learning. TPS-ISA 2021: 279-280 - [c113]Simon Oya, Florian Kerschbaum:
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption. USENIX Security Symposium 2021: 127-142 - [c112]Tianhao Wang, Florian Kerschbaum:
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. WWW 2021: 993-1004 - [i39]Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum:
Obfuscated Access and Search Patterns in Searchable Encryption. CoRR abs/2102.09651 (2021) - [i38]Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
Quantifying identifiability to choose and audit ε in differentially private deep learning. CoRR abs/2103.02913 (2021) - [i37]Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas:
PCOR: Private Contextual Outlier Release via Differentially Private Search. CoRR abs/2103.05173 (2021) - [i36]Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum:
Equi-Joins Over Encrypted Data for Series of Queries. CoRR abs/2103.05792 (2021) - [i35]Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum:
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics. CoRR abs/2107.12407 (2021) - [i34]Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum:
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). CoRR abs/2108.04974 (2021) - [i33]Simon Oya, Florian Kerschbaum:
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. CoRR abs/2110.04180 (2021) - [i32]Jiaxiang Liu, Simon Oya, Florian Kerschbaum:
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference. CoRR abs/2110.05524 (2021) - [i31]Erik-Oliver Blass, Florian Kerschbaum, Travis Mayberry:
Iterative Oblivious Pseudo-Random Functions and Applications. IACR Cryptol. ePrint Arch. 2021: 1013 (2021) - 2020
- [j19]Andreas Fischer, Benny Fuhry, Florian Kerschbaum, Eric Bodden:
Computation on Encrypted Data using Dataflow Authentication. Proc. Priv. Enhancing Technol. 2020(1): 5-25 (2020) - [j18]Bailey Kacsmar, Chelsea Komlo, Florian Kerschbaum, Ian Goldberg:
Mind the Gap: Ceremonies for Applied Secret Sharing. Proc. Priv. Enhancing Technol. 2020(2): 397-415 (2020) - [j17]Simeon Krastnikov, Florian Kerschbaum, Douglas Stebila:
Efficient Oblivious Database Joins. Proc. VLDB Endow. 13(11): 2132-2145 (2020) - [c111]Rasoul Akhavan Mahdavi, Thomas Humphries, Bailey Kacsmar, Simeon Krastnikov, Nils Lukas, John A. Premkumar, Masoumeh Shafieinejad, Simon Oya, Florian Kerschbaum, Erik-Oliver Blass:
Practical Over-Threshold Multi-Party Private Set Intersection. ACSAC 2020: 772-783 - [c110]Anselme Tueno, Florian Kerschbaum:
Efficient Secure Computation of Order-Preserving Encryption. AsiaCCS 2020: 193-207 - [c109]Erik-Oliver Blass, Florian Kerschbaum:
BOREALIS: Building Block for Sealed Bid Auctions on Blockchains. AsiaCCS 2020: 558-571 - [c108]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: 230-245 - [c107]Anselme Tueno, Yordan Boev, Florian Kerschbaum:
Non-interactive Private Decision Tree Evaluation. DBSec 2020: 174-194 - [c106]Benny Fuhry, Lina Hirschoff, Samuel Koesnadi, Florian Kerschbaum:
SeGShare: Secure Group File Sharing in the Cloud using Enclaves. DSN 2020: 476-488 - [c105]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: 390-404 - [c104]Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser, Yordan Boev, Mubashir Qureshi:
Secure Computation of the kth-Ranked Element in a Star Network. Financial Cryptography 2020: 386-403 - [c103]Basit Khurram, Florian Kerschbaum:
SFour: A Protocol for Cryptographically Secure Record Linkage at Scale. ICDE 2020: 277-288 - [c102]Jonas Böhler, Florian Kerschbaum:
Secure Sublinear Time Differentially Private Median Computation. NDSS 2020 - [c101]Timon Hackenjos, Florian Hahn, Florian Kerschbaum:
SAGMA: Secure Aggregation Grouped by Multiple Attributes. SIGMOD Conference 2020: 587-601 - [c100]Jonas Böhler, Florian Kerschbaum:
Secure Multi-party Computation of Differentially Private Median. USENIX Security Symposium 2020: 2147-2164 - [i30]Benny Fuhry, Jayanth Jain H. A, Florian Kerschbaum:
EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database using Enclaves. CoRR abs/2002.05097 (2020) - [i29]Simeon Krastnikov, Florian Kerschbaum, Douglas Stebila:
Efficient Oblivious Database Joins. CoRR abs/2003.09481 (2020) - [i28]Simon Oya, Florian Kerschbaum:
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption. CoRR abs/2010.03465 (2020) - [i27]Thomas Humphries, Matthew Rafuse, Lindsey Tulloch, Simon Oya, Ian Goldberg, Florian Kerschbaum:
Differentially Private Learning Does Not Bound Membership Inference. CoRR abs/2010.12112 (2020) - [i26]Erik-Oliver Blass, Florian Kerschbaum:
Mixed-Technique, Maliciously-Secure, and Composed Multi-Party Computations. IACR Cryptol. ePrint Arch. 2020: 636 (2020)
2010 – 2019
- 2019
- [j16]Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser:
Private Evaluation of Decision Trees using Sublinear Cost. Proc. Priv. Enhancing Technol. 2019(1): 266-286 (2019) - [j15]Chang Ge, Ihab F. Ilyas, Florian Kerschbaum:
Secure Multi-Party Functional Dependency Discovery. Proc. VLDB Endow. 13(2): 184-196 (2019) - [c99]Florian Kerschbaum, Anselme Tueno:
An Efficiently Searchable Encrypted Data Structure for Range Queries. ESORICS (2) 2019: 344-364 - [c98]Tianhao Wang, Florian Kerschbaum:
Attacks on Digital Watermarks for Deep Neural Networks. ICASSP 2019: 2622-2626 - [c97]Florian Hahn, Nicolas Loza, Florian Kerschbaum:
Joins Over Encrypted Data with Fine Granular Security. ICDE 2019: 674-685 - [e6]Florian Kerschbaum, Atefeh Mashatan, Jianwei Niu, Adam J. Lee:
Proceedings of the 24th ACM Symposium on Access Control Models and Technologies, SACMAT 2019, Toronto, ON, Canada, June 03-06, 2019. ACM 2019, ISBN 978-1-4503-6753-0 [contents] - [i25]Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas, Florian Kerschbaum:
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks. CoRR abs/1906.07745 (2019) - [i24]Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser, Yordan Boev, Mubashir Qureshi:
Secure Computation of the kth-Ranked Element in a Star Network. CoRR abs/1909.08347 (2019) - [i23]Anselme Tueno, Yordan Boev, Florian Kerschbaum:
Non-Interactive Private Decision Tree Evaluation. CoRR abs/1909.08362 (2019) - [i22]Tianhao Wang, Florian Kerschbaum:
Robust and Undetectable White-Box Watermarks for Deep Neural Networks. CoRR abs/1910.14268 (2019) - [i21]Nils Lukas, Yuxuan Zhang, Florian Kerschbaum:
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. CoRR abs/1912.00888 (2019) - [i20]Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum:
Assessing differentially private deep learning with Membership Inference. CoRR abs/1912.11328 (2019) - [i19]Erik-Oliver Blass, Florian Kerschbaum:
Secure Computation of the kth-ranked Integer on Blockchains. IACR Cryptol. ePrint Arch. 2019: 276 (2019) - 2018
- [j14]Benny Fuhry, Raad Bahmani, Ferdinand Brasser, Florian Hahn, Florian Kerschbaum, Ahmad-Reza Sadeghi:
HardIDX: Practical and secure index with SGX in a malicious environment. J. Comput. Secur. 26(5): 677-706 (2018) - [j13]Stamatis Karnouskos, Florian Kerschbaum:
Privacy and Integrity Considerations in Hyperconnected Autonomous Vehicles. Proc. IEEE 106(1): 160-170 (2018) - [c96]Erik-Oliver Blass, Florian Kerschbaum:
Strain: A Secure Auction for Blockchains. ESORICS (1) 2018: 87-110 - [c95]Benjamin Weggenmann, Florian Kerschbaum:
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining. SIGIR 2018: 305-314 - [c94]Florian Hahn, Nicolas Loza, Florian Kerschbaum:
Practical and Secure Substring Search. SIGMOD Conference 2018: 163-176 - [e5]Florian Kerschbaum, Stefano Paraboschi:
Data and Applications Security and Privacy XXXII - 32nd Annual IFIP WG 11.3 Conference, DBSec 2018, Bergamo, Italy, July 16-18, 2018, Proceedings. Lecture Notes in Computer Science 10980, Springer 2018, ISBN 978-3-319-95728-9 [contents] - [i18]Anselme Tueno, Florian Kerschbaum:
Secure Range Queries for Multiple Users. CoRR abs/1802.01138 (2018) - [i17]Benjamin Weggenmann, Florian Kerschbaum:
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining. CoRR abs/1805.00904 (2018) - 2017
- [c93]Anselme Tueno, Florian Kerschbaum, Daniel Bernau, Sara Foresti:
Selective access for supply chain management in the cloud. CNS 2017: 476-482 - [c92]Jonas Böhler, Daniel Bernau, Florian Kerschbaum:
Privacy-Preserving Outlier Detection for Data Streams. DBSec 2017: 225-238 - [c91]Florian Kerschbaum, Martin Härterich:
Searchable Encryption to Reduce Encryption Degradation in Adjustably Encrypted Databases. DBSec 2017: 325-336 - [c90]Benny Fuhry, Raad Bahmani, Ferdinand Brasser, Florian Hahn, Florian Kerschbaum, Ahmad-Reza Sadeghi:
HardIDX: Practical and Secure Index with SGX. DBSec 2017: 386-408 - [i16]Benny Fuhry, Raad Bahmani, Ferdinand Brasser, Florian Hahn, Florian Kerschbaum, Ahmad-Reza Sadeghi:
HardIDX: Practical and Secure Index with SGX. CoRR abs/1703.04583 (2017) - [i15]Florian Kerschbaum, Anselme Tueno:
An Efficiently Searchable Encrypted Data Structure for Range Queries. CoRR abs/1709.09314 (2017) - [i14]Andreas Fischer, Benny Fuhry, Florian Kerschbaum, Eric Bodden:
Computation on Encrypted Data using Data Flow Authentication. CoRR abs/1710.00390 (2017) - [i13]Erik-Oliver Blass, Florian Kerschbaum:
Strain: A Secure Auction for Blockchains. IACR Cryptol. ePrint Arch. 2017: 1044 (2017) - 2016
- [c89]Florian Hahn, Florian Kerschbaum:
Poly-Logarithmic Range Queries on Encrypted Data with Small Leakage. CCSW 2016: 23-34 - [c88]Benny Fuhry, Walter Tighzert, Florian Kerschbaum:
Encrypting Analytical Web Applications. CCSW 2016: 35-46 - [c87]Florian Kerschbaum, Erik-Oliver Blass, Tomas Sander:
WISCS'16: The 3rd ACM Workshop on Information Sharing and Collaborative Security. CCS 2016: 1877-1878 - [e4]Stefan Katzenbeisser, Edgar R. Weippl, Erik-Oliver Blass, Florian Kerschbaum:
Proceedings of the 2016 ACM on Workshop on Information Sharing and Collaborative Security, WISCS 2016, Vienna, Austria, October 24 - 28, 2016. ACM 2016, ISBN 978-1-4503-4565-1 [contents] - [e3]X. Sean Wang, Lujo Bauer, Florian Kerschbaum:
Proceedings of the 21st ACM on Symposium on Access Control Models and Technologies, SACMAT 2016, Shanghai, China, June 5-8, 2016. ACM 2016, ISBN 978-1-4503-3802-8 [contents] - 2015
- [c86]Florian Kerschbaum:
Frequency-Hiding Order-Preserving Encryption. CCS 2015: 656-667 - [c85]Florian Kerschbaum, Cristina Nita-Rotaru, Indrajit Ray:
CCSW 2015: The 7th ACM Cloud Computing Security Workshop. CCS 2015: 1703-1704 - [c84]Florian Kerschbaum, Hoon Wei Lim:
Privacy-Preserving Observation in Public Spaces. ESORICS (2) 2015: 81-100 - [c83]Chaowen Guan, Kui Ren, Fangguo Zhang, Florian Kerschbaum, Jia Yu:
Symmetric-Key Based Proofs of Retrievability Supporting Public Verification. ESORICS (1) 2015: 203-223 - [c82]Florian Kerschbaum:
Oblivious outsourcing of garbled circuit generation. SAC 2015: 2134-2140 - [c81]Isabelle Hang, Florian Kerschbaum, Ernesto Damiani:
ENKI: Access Control for Encrypted Query Processing. SIGMOD Conference 2015: 183-196 - [e2]Indrajit Ray, Xiaofeng Wang, Kui Ren, Florian Kerschbaum, Cristina Nita-Rotaru:
Proceedings of the 2015 ACM Workshop on Cloud Computing Security Workshop, CCSW 2015, Denver, Colorado, USA, October 16, 2015. ACM 2015, ISBN 978-1-4503-3825-7 [contents] - [e1]Edgar R. Weippl, Florian Kerschbaum, Adam J. Lee:
Proceedings of the 20th ACM Symposium on Access Control Models and Technologies, Vienna, Austria, June 1-3, 2015. ACM 2015, ISBN 978-1-4503-3556-0 [contents] - 2014
- [c80]Florian Kerschbaum, Thomas Schneider, Axel Schröpfer:
Automatic Protocol Selection in Secure Two-Party Computations. ACNS 2014: 566-584 - [c79]Patrick Grofig, Isabelle Hang, Martin Härterich, Florian Kerschbaum, Mathias Kohler, Andreas Schaad, Axel Schröpfer, Walter Tighzert:
Privacy by Encrypted Databases. APF 2014: 56-69 - [c78]Florian Kerschbaum, Axel Schröpfer:
Optimal Average-Complexity Ideal-Security Order-Preserving Encryption. CCS 2014: 275-286 - [c77]Florian Hahn, Florian Kerschbaum:
Searchable Encryption with Secure and Efficient Updates. CCS 2014: 310-320 - [c76]Florian Kerschbaum:
Client-Controlled Cloud Encryption. CCS 2014: 1542-1543 - [c75]