Publications

A Concise Analysis of Pasting Attacks and their Impact on Image Classification
Bunzel, Niklas; Graner, Lukas
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2023, p.136-140

Adversarial Patch Detection and Mitigation by Detecting High Entropy Regions
Bunzel, Niklas; Siwakoti, Ashim; Klause, Gerrit
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2023, p.124-128

Deepfakes, Dall-E \& Co.
Frick, Raphael; Steinebach, Martin; Zmudzinski, Sascha
DuD: Datenschutz und Datensicherheit, 2023

Detection of deepfakes using background-matching
Stephanie Blümer; Martin Steinebach; Raphael Antonius Frick; Niklas Bunzel
Electronic Imaging, 2023, Vol.35, p.381-1

Erkennung von Kindesmissbrauch in Medien
Steinebach, Martin
DuD: Datenschutz und Datensicherheit, 2023

Multi-Class Detection for Off The Shelf Transfer-Based Black Box Attacks
Bunzel, Niklas; Böringer, Dominic
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

Transparency in Messengers: A Metadata Analysis Based on the Example of Telegram
Schäfer, Karla; Choi, Jeong-Eun
Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

A Close Look at Robust Hash Flip Positions
Martin Steinebach
Media Watermarking, Security, and Forensics 2021, 2021

Automated Image Metadata Verification
Kyra Wittorf; Martin Steinebach; Huajian Liu
Media Watermarking, Security, and Forensics 2021, 2021

Fingerprinting Blank Paper and Printed Material by Smartphones
Waldemar Berchtold; Markus Sütter; Martin Steinebach
Media Watermarking, Security, and Forensics 2021, 2021

MetaQA: Combining Expert Agents for Multi-Skill Question Answering
Haritz Puerto; Gözde Gül Sahin; Iryna Gurevych
CoRR, 2021, Vol.abs/2112.01922

Ausprägungen und Erkennung der manipulativen Verwendung von Bildern
Steinebach, Martin
Betrugserkennung in der Krankenkasse. Impulsgeber für die Praxis, 2020, p.21-32

Automatisierung beim Auffinden radikaler Inhalte im Internet
Martin Steinebach; Inna Vogel; York Yannikos; Roey Regev
Extremistische Dynamiken im Social Web. Befunde zu den digitalen Katalysatoren politisch und religiös motivierter Gewalt, 2020, p.89-114

Critical traffic analysis on the tor network
Florian Platzer; Marcel Schäfer; Martin Steinebach
ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020, 2020, p.1-77

Fake News Detection by Image Montage Recognition
Martin Steinebach; Huajian Liu; Karol Gotkowski
Journal of Cyber Security and Mobility, 2020, Vol.9, p.175-202

Non-blind steganalysis
Niklas Bunzel; Martin Steinebach; Huajian Liu
ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020, 2020, p.1-71

Fake News Detection by Image Montage Recognition
Martin Steinebach; Karol Gotkowski; Huajian Liu
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-55

Fake News Detection with the New German Dataset "GermanFakeNC"
Inna Vogel; Peter Jiang
Digital Libraries for Open Knowledge - 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, Proceedings, 2019, p.288-295

Unary and Binary Classification Approaches and their Implications for Authorship Verification
Oren Halvani; Christian Winter; Lukas Graner
CoRR, 2019, Vol.abs/1901.00399

Other thematically appropriate publications:

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models
Frick, R., & Steinebach, M. (2022, October)
In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task (pp. 111-113)

Ausprägungen von Uploadfiltern
Steinebach, M. (2022)
Selbstbestimmung, Privatheit und Datenschutz (pp. 409-428). Springer Vieweg, Wiesbaden

Image montage detection based on image segmentation and robust hashing techniques
Steinebach, M., Berwanger, T., & Liu, H. (2022)
International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics 202

NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches
Gotkowski, K., Liu, H., & Steinebach, M. (2022)
International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics 2022

Maschinelles Lernen im Jugendschutz
Steinebach, M. (2022)
Mediendiskurs, Ausgabe 100

Detecting Deepfakes with Haralicks Texture Properties
Frick, R. A., Zmudzinski, S., & Steinebach, M. (2021)
International Symposium on Electronic Imaging Science and Technology (IS&T) 2021

Automated Image Metadata Verification
Wittorf, K., Steinebach, M., & Liu, H. (2021)
Electronic Imaging, 2021(4), 274-1

Technische Herausforderungen bei der Umsetzung von Uploadfiltern
Steinebach, M. (2021)
INFORMATIK 2021

Cover-aware Steganalysis
Bunzel, N., Steinebach, M., & Liu, H. (2021)
Journal of Cyber Security and Mobility, 1-26

Automatisierte Erkennung von Desinformationen
Halvani, O., Heereman von Zuydtwyck, W., Herfert, M., Kreutzer, M., Liu, H., Simo Fhom, H.-C., Steinebach, M., Vogel, I., Wolf, R., Yannikos, Y., & Zmudzinski, S. (2020)

Checking the Integrity of Images with Signed Thumbnail Images
Steinebach, M., Jörg, S., & Liu, H. (2020)
Electronic Imaging, 2020(4), 118-1

Detecting “DeepFakes” in H. 264 Video Data Using Compression Ghost Artifacts
Frick, R. A., Zmudzinski, S., & Steinebach, M. (2020)
Electronic Imaging, 2020(4), 116-1

Fake news detection by image montage recognition
Steinebach, M., Gotkowski, K., & Liu, H. (2019, August)
Proceedings of the 14th International Conference on Availability, Reliability and Security (pp. 1-9)

Verwendung computergenerierter Kinderpornografie zu Ermittlungszwecken im Darknet
Wittmer, S., & Steinebach, M. (2019)
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für Gesellschaft

Unterstützung bei Bildsichtungen durch Deep Learning
Mayer, F., & Steinebach, M. (2018)
Fachtagung Polizei-Informatik 2018

Forbild: Efficient robust image hashing
Steinebach, M., Liu, H., & Yannikos, Y. (2012, February)
In Media Watermarking, Security, and Forensics 2012 (Vol. 8303, p. 83030O). International Society for Optics and Photonics