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Books and Theses
- 2014
[b1]Pascal Schöttle:
The role of side information in steganography. Universität Münster, 2014, pp. 1-157
Journal Articles
- 2024
- [j6]Florian Merkle
, Maximilian Samsinger, Pascal Schöttle, Tomás Pevný:
On the Economics of Adversarial Machine Learning. IEEE Trans. Inf. Forensics Secur. 19: 4670-4685 (2024) - 2022
- [j5]Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer:
Machine unlearning: linear filtration for logit-based classifiers. Mach. Learn. 111(9): 3203-3226 (2022) - [j4]Luisa Brinkschulte, Stephan Schlögl, Alexander Monz, Pascal Schöttle, Matthias Janetschek:
Perspectives on Socially Intelligent Conversational Agents. Multimodal Technol. Interact. 6(8): 62 (2022) - 2016
- [j3]Pascal Schöttle, Rainer Böhme:
Game Theory and Adaptive Steganography. IEEE Trans. Inf. Forensics Secur. 11(4): 760-773 (2016) - 2015
- [j2]Benjamin Johnson, Pascal Schöttle, Aron Laszka, Jens Grossklags, Rainer Böhme:
Adaptive Steganography and Steganalysis with Fixed-Size Embedding. Trans. Data Hiding Multim. Secur. 10: 69-91 (2015) - 2014
- [j1]Aron Laszka, Benjamin Johnson, Pascal Schöttle, Jens Grossklags, Rainer Böhme:
Secure Team Composition to Thwart Insider Threats and Cyber-Espionage. ACM Trans. Internet Techn. 14(2-3): 19:1-19:22 (2014)
Conference and Workshop Papers
- 2024
- [c26]Markus Russold, Martin Nocker, Pascal Schöttle:
Incremental Whole Plate ALPR Under Data Availability Constraints. ICPRAM 2024: 131-140 - 2023
- [c25]Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle:
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. EANN 2023: 251-263 - [c24]Florian Merkle, Mihaela Roxana Sirbu, Martin Nocker, Pascal Schöttle:
Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop. ICIAP Workshops (1) 2023: 15-27 - [c23]Martin Nocker, David Drexel, Michael Rader, Alessio Montuoro, Pascal Schöttle:
HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models. ICMLT 2023: 35-45 - [c22]Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle:
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. ICMLT 2023: 54-60 - 2022
- [c21]Daniel Aumayr, Pascal Schöttle:
U Can't (re)Touch This - A Deep Learning Approach for Detecting Image Retouching. ICIAP (2) 2022: 127-138 - [c20]Florian Merkle, Maximilian Samsinger, Pascal Schöttle:
Pruning in the Face of Adversaries. ICIAP (1) 2022: 658-669 - 2021
- [c19]Nora Hofer, Pascal Schöttle, Alexander Rietzler, Sebastian Stabinger:
Adversarial Examples Against a BERT ABSA Model - Fooling Bert With L33T, Misspellign, and Punctuation, . ARES 2021: 33:1-33:6 - [c18]Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný:
When Should You Defend Your Classifier? - - A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples. GameSec 2021: 158-177 - 2020
- [c17]Thomas Dilger, Christian Ploder, Wolfgang Haas, Pascal Schöttle, Reinhard Bernsteiner:
Continuous Planning and Forecasting Framework (CPFF) for Agile Project Management: Overcoming the. SIGITE 2020: 371-377 - 2018
- [c16]Pascal Schöttle, Alexander Schlögl, Cecilia Pasquini, Rainer Böhme:
Detecting Adversarial Examples - a Lesson from Multimedia Security. EUSIPCO 2018: 947-951 - 2017
- [c15]Svetlana Abramova, Pascal Schöttle, Rainer Böhme:
Mixing Coins of Different Quality: A Game-Theoretic Approach. Financial Cryptography Workshops 2017: 280-297 - [c14]Cecilia Pasquini, Pascal Schöttle, Rainer Böhme:
Decoy Password Vaults: At Least as Hard as Steganography? SEC 2017: 356-370 - 2016
- [c13]Cecilia Pasquini, Pascal Schöttle, Rainer Böhme, Giulia Boato, Fernando Pérez-González:
Forensics of High Quality and Nearly Identical JPEG Image Recompression. IH&MMSec 2016: 11-21 - [c12]Matthias Carnein, Pascal Schöttle, Rainer Böhme:
Telltale Watermarks for Counting JPEG Compressions. Media Watermarking, Security, and Forensics 2016: 1-10 - 2015
- [c11]Matthias Kirchner, Pascal Schöttle, Christian Riess:
Thinking beyond the block: block matching for copy-move forgery detection revisited. Media Watermarking, Security, and Forensics 2015: 940903 - [c10]Matthias Carnein, Pascal Schöttle, Rainer Böhme:
Forensics of high-quality JPEG images with color subsampling. WIFS 2015: 1-6 - 2014
- [c9]Erwin Quiring, Pascal Schöttle:
On the combination of randomized thresholds and non-parametric boundaries to protect digital watermarks against sensitivity attacks. IH&MMSec 2014: 41-48 - [c8]Matthias Carnein, Pascal Schöttle, Rainer Böhme:
Predictable rain?: steganalysis of public-key steganography using wet paper codes. IH&MMSec 2014: 97-108 - 2013
- [c7]Aron Laszka, Benjamin Johnson, Pascal Schöttle, Jens Grossklags, Rainer Böhme:
Managing the Weakest Link - A Game-Theoretic Approach for the Mitigation of Insider Threats. ESORICS 2013: 273-290 - [c6]Pascal Schöttle, Aron Laszka, Benjamin Johnson, Jens Grossklags, Rainer Böhme:
A game-theoretic analysis of content-adaptive steganography with independent embedding. EUSIPCO 2013: 1-5 - [c5]Benjamin Johnson, Pascal Schöttle, Aron Laszka, Jens Grossklags, Rainer Böhme:
Bitspotting: Detecting Optimal Adaptive Steganography. IWDW 2013: 3-18 - 2012
- [c4]Benjamin Johnson, Pascal Schöttle, Rainer Böhme:
Where to Hide the Bits ? GameSec 2012: 1-17 - [c3]Pascal Schöttle, Rainer Böhme:
A Game-Theoretic Approach to Content-Adaptive Steganography. Information Hiding 2012: 125-141 - [c2]Pascal Schöttle, Stefan Korff, Rainer Böhme:
Weighted stego-image steganalysis for naive content-adaptive embedding. WIFS 2012: 193-198 - 2008
- [c1]Pascal Schöttle, Thomas Dreibholz, Erwin P. Rathgeb:
On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks. LCN 2008: 207-214
Editorship
- 2018
- [e1]Rainer Böhme, Cecilia Pasquini, Giulia Boato, Pascal Schöttle:
Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, Innsbruck, Austria, June 20-22, 2018. ACM 2018 [contents]
Informal and Other Publications
- 2023
- [i7]Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle:
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. CoRR abs/2302.08257 (2023) - [i6]Martin Nocker, David Drexel, Michael Rader, Alessio Montuoro, Pascal Schöttle:
HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models. CoRR abs/2302.08260 (2023) - [i5]David Weber, Florian Merkle, Pascal Schöttle, Stephan Schlögl:
Less is More: The Influence of Pruning on the Explainability of CNNs. CoRR abs/2302.08878 (2023) - 2021
- [i4]Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný:
When Should You Defend Your Classifier - A Game-theoretical Analysis of Countermeasures against Adversarial Examples. CoRR abs/2108.07602 (2021) - [i3]Florian Merkle, Maximilian Samsinger, Pascal Schöttle:
Pruning in the Face of Adversaries. CoRR abs/2108.08560 (2021) - 2020
- [i2]Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer:
Machine Unlearning: Linear Filtration for Logit-based Classifiers. CoRR abs/2002.02730 (2020) - 2018
- [i1]Pascal Schöttle, Alexander Schlögl, Cecilia Pasquini, Rainer Böhme:
Detecting Adversarial Examples - A Lesson from Multimedia Forensics. CoRR abs/1803.03613 (2018)
Coauthor Index
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