Publikationen
A Concise Analysis of Pasting Attacks and their Impact on Image Classification
Niklas Bunzel; Lukas Graner
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
Niklas Bunzel; Ashim Siwakoti; Gerrit Klause
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2023, p.124-128
Audio captcha breaking and consequences for human users
Fabian Oberthür; Martin Steinebach; Verena Battis
Electronic Imaging, 2023, Vol.35, p.373-1
Detection of deepfakes using background-matching
Stephanie Blümer; Martin Steinebach; Raphael Antonius Frick; Niklas Bunzel
Electronic Imaging, 2023, Vol.35, p.381-1
Does CLIP Know My Face?
Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting
Image Hashing Robust Against Cropping and Rotation
Martin Steinebach; Tiberius Berwanger; Huajian Liu
J. Cyber Secur. Mobil., 2023
Inconsistencies in Darknet Researches
Florian Platzer; Alexandra Lux
J. Cyber Secur. Mobil., 2023
Lessons Learned from a Citizen Science Project for Natural Language Processing
Jan-Christoph Klie; Ji-Ung Lee; Kevin Stowe; Gözde Gül Şahin; Nafise Sadat Moosavi; Luke Bates; Dominic Petrak; Richard Eckart de Castilho; Iryna Gurevych
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2023, 2023
Multi-Class Detection for Off The Shelf Transfer-Based Black Box Attacks
Niklas Bunzel; Dominic Böringer
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023
Predicting positions of flipped bits in robust image hashes
Marius Leon Hammann; Martin Steinebach; Huajian Liu; Niklas Bunzel
Electronic Imaging, 2023, Vol.35, p.375-1
Scraping and Analyzing Data of a Large Darknet Marketplace
York Yannikos; Julian Heeger; Martin Steinebach
J. Cyber Secur. Mobil., 2023
Stellungnahme zur Anhörung „Chatkontrolle“ im Ausschuss für Digitales im Deutschen Bundestag am 01.03.2023
Martin Steinebach
Transformers with Learnable Activation Functions
Haishuo Fang; Ji-Ung Lee; Nafise Sadat Moosavi; Iryna Gurevych
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Transparency in Messengers: A Metadata Analysis Based on the Example of Telegram
Karla Schäfer; Jeong-Eun Choi
Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023
Users Privacy Literacy, Motivation to use Tor and Strategies to Enhance their Privacy
Florian Platzer; Alexandra Lux
International Symposium on Technikpsychologie (TecPsy) 2023, 2023
Adaptable Adapters
Nafise Sadat Moosavi; Quentin Delfosse; Kristian Kersting; Iryna Gurevych
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 2022, p.3742-3753
An Introduction to the exFAT File System and How to Hide Data Within
Julian Heeger; York Yannikos; Martin Steinebach
Journal of Cyber Security and Mobility 11/2, 2022, p.239-264
An Unorthodox Approach for Style Change Detection
Lukas Graner; Paul Ranly
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022, 2022, p.2455-2466
A Synopsis of Critical Aspects for Darknet Research
Florian Platzer; Alexandra Lux
ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23 - 26, 2022, 2022, p.1-54
Ausprägungen von Uploadfiltern
Martin Steinebach
Selbstbestimmung, Privatheit und Datenschutz: Gestaltungsoptionen für einen europäischen Weg, 2022, p.409-428
Boosted Curriculum Reinforcement Learning
Pascal Klink; Carlo D Eramo; Jan Peters; Joni Pajarinen
The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse; Wolfgang Stammer; Thomas Rothenbacher; Dwarak Vittal; Kristian Kersting
CoRR, 2022, Vol.abs/2211.09771
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting
The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022
Cultural assets identification using transfer learning
Simon Bugert; Huajian Liu; Waldemar Berchtold; Martin Steinebach
Electronic Imaging, 2022, Vol.34, p.1-4
Curriculum Reinforcement Learning via Constrained Optimal Transport
Pascal Klink; Haoyi Yang; Carlo D Eramo; Jan Peters; Joni Pajarinen
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022, p.11341-11358
Data Acquisition on a Large Darknet Marketplace
York Yannikos; Julian Heeger; Martin Steinebach
ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23 - 26, 2022, 2022, p.1-53
Deanonymisierung im Tor-Netzwerk - Technische Möglichkeiten und rechtliche Rahmenbedingungen
Sandra Wittmer; Florian Platzer; Martin Steinebach; York Yannikos
Selbstbestimmung, Privatheit und Datenschutz: Gestaltungsoptionen für einen europäischen Weg, 2022, p.151-169
Der Wert des Anonymen
Robert Landwirth
Selbstbestimmung, Privatheit und Datenschutz: Gestaltungsoptionen für einen europäischen Weg, 2022, p.101-127
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
Timour Igamberdiev; Thomas Arnold; Ivan Habernal
Proceedings of the 29th International Conference on Computational Linguistics, 2022, p.2927-2933
Face Pasting Attack
Niklas Bunzel; Lukas Graner
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization
Prasetya Utama; Joshua Bambrick; Nafise Sadat Moosavi; Iryna Gurevych
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022, 2022, p.2763-2776
Fraunhofer SIT@SMM4H 22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models
Raphael Antonius Frick; Martin Steinebach
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, SMM4H@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022, 2022, p.111-113
Fraunhofer SIT@SMM4H 22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models
Raphael Frick; Martin Steinebach
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, 2022, p.111-113
IT and more: Anonymisierung unstrukturierter Daten
Martin Steinebach; Inna Vogel
WPg - Die Wirtschaftsprüfung, 2022, Vol.21
Maschinelles Lernen im Jugendschutz
Martin Steinebach
mediendiskurs, 2022, Vol.2, p.68-72
Natural Language Processing (NLP) und der Datenschutz - Chancen und Risiken für den Schutz der Privatheit
Inna Vogel; Tahireh Setz; Jeong-Eun Choi; Martin Steinebach
52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26. - 30. September 2022, Hamburg, 2022, p.651-664
Online-Privatheitskompetenz und Möglichkeiten der technischen Umsetzung mit dem Anonymisierungsnetzwerk Tor
Alexandra Lux; Florian Platzer
Selbstbestimmung, Privatheit und Datenschutz: Gestaltungsoptionen für einen europäischen Weg, 2022, p.129-149
Recognition of objects from looted excavations by smartphone app and deep learning
Waldemar Berchtold; Huajian Liu; Simon Bugert; York Yannikos; Jingcun Wang; Julian Heeger; Martin Steinebach; Marco Frühwein
Electronic Imaging, 2022, Vol.34, p.362-1
Robust face recognition: How much face Is needed?
Niklas Bunzel
Electronic Imaging, 2022, Vol.34, p.1-9
Similarity Analysis of Single-Vendor Marketplaces in the Tor-Network
Florian Platzer; Fabian Brenner; Martin Steinebach
Journal of Cyber Security and Mobility, 2022, p.205-238
Towards Image Hashing Robust Against Cropping and Rotation
Martin Steinebach; Tiberius Berwanger; Huajian Liu
ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23 - 26, 2022, 2022, p.1-55
Transformer-based Extraction of Deep Image Models
Verena Battis; Alexander Penner
7th IEEE European Symposium on Security and Privacy, EuroS&P 2022, Genoa, Italy, June 6-10, 2022, 2022, p.320-336
Using Telegram as a carrier for image steganography: Analysing Telegrams API limits
Niklas Bunzel; Tobias Chen; Martin Steinebach
ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna, Austria, August 23 - 26, 2022, 2022, p.1-49
Zulässigkeit von Open Source-Ermittlungen zur Strafverfolgung im Darknet
Sandra Wittmer; Florian Platzer
52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26. - 30. September 2022, Hamburg, 2022, p.569-587
"I Never Thought About Securing My Machine Learning Systems": A Study of Security and Privacy Awareness of Machine Learning Practitioners
Franziska Boenisch; Verena Battis; Nicolas Buchmann; Maija Poikela
Mensch und Computer 2021, Ingolstadt, Germany, September 5-8, 2021, 2021, p.520-546
A Close Look at Robust Hash Flip Positions
Martin Steinebach
Media Watermarking, Security, and Forensics 2021, 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting
Adversarial Examples zum Selbstdatenschutz? Der Fall biometrischer Gesichtserkennung im öffentlichen Raum
Niklas Bunzel; Neele Zander; Robert Landwirth; Ann-Katrin Riedel
51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27.September - 1. Oktober, 2021, 2021, p.1059-1075
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
Nandan Thakur; Nils Reimers; Johannes Daxenberger; Iryna Gurevych
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, 2021, p.296-310
Automated Image Metadata Verification
Kyra Wittorf; Martin Steinebach; Huajian Liu
Media Watermarking, Security, and Forensics 2021, 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama; Nafise Sadat Moosavi; Victor Sanh; Iryna Gurevych
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021, p.9063-9074
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
Zihao Wang; Hang Yin; Yangqiu Song
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Chenyu Yi; Siyuan Yang; Haoliang Li; Yap-Peng Tan; Alex C. Kot
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
Comparison of Cyber Attacks on Services in the Clearnet and Darknet
York Yannikos; Quang Anh Dang; Martin Steinebach
Advances in Digital Forensics XVII - 17th IFIP WG 11.9 International Conference, Virtual Event, February 1-2, 2021, Revised Selected Papers, 2021, p.39-61
Coreference Reasoning in Machine Reading Comprehension
Mingzhu Wu; Nafise Sadat Moosavi; Dan Roth; Iryna Gurevych
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021, p.5768-5781
Cover-aware Steganalysis
Niklas Bunzel; Martin Steinebach; Huajian Liu
Journal of Cyber Security and Mobility, 2021, Vol.10, p.1-26
Critical Traffic Analysis on the Tor Network
Florian Platzer; Marcel Schäfer; Martin Steinebach
Journal of Cyber Security and Mobility, 2021, Vol.10, p.133-160
Discovery of Single-Vendor Marketplace Operators in the Tor-Network
Fabian Brenner; Florian Platzer; Martin Steinebach
ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021, 2021, p.1-76
Einschätzen von Kulturgütern per App
Martin Steinebach
Polizei, Verkehr + Technik 4, 2021
Evaluation Discrepancy Discovery: A Sentence Compression Case-study
Yevgeniy Puzikov
CoRR, 2021, Vol.abs/2101.09079
Fingerprinting Blank Paper and Printed Material by Smartphones
Waldemar Berchtold; Markus Sütter; Martin Steinebach
Media Watermarking, Security, and Forensics 2021, 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng; Xu Zou; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang; Jie Tang
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts
Philipp Schader; Raphael Beckmann; Lukas Graner; Jürgen Bernard
26th International Symposium on Vision, Modeling, and Visualization, VMV 2021, Virtual Event / Technische Universität Dresden, Germany, September 27-28, 2021, 2021, p.99-107
MetaQA: Combining Expert Agents for Multi-Skill Question Answering
Haritz Puerto; Gözde Gül Şahin; Iryna Gurevych
CoRR, 2021, Vol.abs/2112.01922
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
Avanika Narayan; Piero Molino; Karan Goel; Willie Neiswanger; Christopher R\ e
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
Phishing detection on tor hidden services
Martin Steinebach; Sascha Zenglein; Katharina Brandl
Digit. Investig., 2021, Vol.36 Supplement, p.301117
POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis
Oren Halvani; Lukas Graner
ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021, 2021, p.1-47
Privacy-Enhanced Robust Image Hashing with Bloom Filters
Uwe Breidenbach; Martin Steinebach; Huajian Liu
Journal of Cyber Security and Mobility, 2021, Vol.10, p.97-132
Profiling Hate Speech Spreaders on Twitter: SVM vs. Bi-LSTM
Inna Vogel; Meghana Meghana
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 2021, p.2193-2200
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task
Afshin Sadeghi; Hirra Malik; Diego Collarana; Jens Lehmann
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables
Nafise Sadat Moosavi; Andreas Rücklé; Dan Roth; Iryna Gurevych
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021
Technik für den digitalen Jugendschutz
Inna Vogel; Martin Steinebach
When differential privacy meets NLP: The devil is in the detail
Ivan Habernal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021, p.1522-1528
AdapterHub: A Framework for Adapting Transformers
Jonas Pfeiffer; Andreas Rücklé; Clifton Poth; Aishwarya Kamath; Ivan Vulic; Sebastian Ruder; Kyunghyun Cho; Iryna Gurevych
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020, 2020, p.46-54
Anonymisierung und Pseudonymisierung von Daten für Projekte des maschinellen Lernens
Patrick Aichroth; Verena Battis; Andreas Dewes; Christoph Dibak; Vadym Doroshenko; Bernd Geiger; Lukas Graner; Steffen Holly; Michael Huth; Benedikt Kämpgen; et al.
Applying machine intelligence in practice
Bernhard Humm; Hermann Bense; Jürgen Bock; Mario Classen; Oren Halvani; Christian Herta; Thomas Hoppe; Oliver Juwig; Melanie Siegel
Informatik Spektrum, 2020, Vol.43, p.137-144
Ausprägungen und Erkennung der manipulativen Verwendung von Bildern
Martin Steinebach
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
Benchmarking the benchmarks - Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings
Sebastian Kohl; Jens O. Brunner
Eur. J. Oper. Res., 2020, Vol.285, p.1042-1057
Checking the Integrity of Images with Signed Thumbnail Images
Martin Steinebach; Sebastian Jörg; Huajian Liu
Electronic Imaging, 2020, Vol.32, p.1-7
Cross-Domain Authorship Verification Based on Topic Agnostic Features
Oren Halvani; Lukas Graner; Roey Regev
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020, 2020
CryptoSPN: Expanding PPML beyond Neural Networks
Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting
PPMLP 20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020, 2020, p.9-14
CryptoSPN: Privacy-Preserving Sum-Product Network Inference
Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting
ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), 2020, p.1946-1953
Detecting double compression and splicing using benfords first digit law
Raphael Antonius Frick; Huajian Liu; Martin Steinebach
ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020, 2020, p.1-47
Detecting Fake News Spreaders on Twitter from a Multilingual Perspective
Inna Vogel; Meghana Meghana
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020, 2020, p.599-606
Detecting “DeepFakes” in H. 264 Video Data Using Compression Ghost Artifacts
Raphael Antonius Frick; Sascha Zmudzinski; Martin Steinebach
Electronic Imaging, 2020, Vol.2020, p.116-1
Detection and Analysis of Tor Onion Services
Martin Steinebach; Marcel Schäfer; Alexander Karakuz; Katharina Brandl
Journal of Cyber Security and Mobility, 2020, Vol.9, p.141-174
Eberbacher Gespräch on “AI, Security \& Privacy”
Michael Kreutzer; Oliver Küch; Martin Steinebach
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
Fake News Spreader Detection on Twitter using Character N-Grams
Inna Vogel; Meghana Meghana
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020, 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Mingzhu Wu; Nafise Sadat Moosavi; Andreas Rücklé; Iryna Gurevych
Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020, p.839-853
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Nils Reimers; Iryna Gurevych
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020, p.4512-4525
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020, p.8717-8729
Motion Vector based Robust Video Hash
Huajian Liu; Sebastian Fach; Martin Steinebach
Electronic Imaging, 2020, Vol.32, p.218-1
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
Andreas Rücklé; Jonas Pfeiffer; Iryna Gurevych
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020, p.2471-2486
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
Privacy-enhanced robust image hashing with bloom filters
Uwe Breidenbach; Martin Steinebach; Huajian Liu
ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020, 2020, p.1-56
Privacy and Robust Hashes
Martin Steinebach; Sebastian Lutz; Huajian Liu
Journal of Cyber Security and Mobility, 2020, p.111-140
Privacy und Big Data
Christian Winter; Martin Steinebach; Wendy Heereman; Simone Steiner; Verena Battis; Oren Halvani; York Yannikos; Christoph Schüßler
TAVeer: an interpretable topic-agnostic authorship verification method
Oren Halvani; Lukas Graner; Roey Regev
ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020, 2020, p.1-41
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020, p.7597-7610
Why do you think that? Exploring faithful sentence-level rationales without supervision
Max Glockner; Ivan Habernal; Iryna Gurevych
Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020, p.1080-1095
An Analysis Framework for Product Prices and Supplies in Darknet Marketplaces
York Yannikos; Julian Heeger; Maria Brockmeyer
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-50
An Unsophisticated Neural Bots and Gender Profiling System
Oren Halvani; Philipp Marquardt
Conference and Labs of the Evaluation Forum, 2019
Assessing the Applicability of Authorship Verification Methods
Oren Halvani; Christian Winter; Lukas Graner
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-38
Auswirkungen der Liberalisierung des Internethandels in Europa auf die Arnzeimittelkriminalität
Bot and Gender Identification in Twitter using Word and Character N-Grams.
Inna Vogel; Peter Jiang
CLEF (Working Notes), 2019
Computergenerierte Kinderpornografie zu Ermittlungszwecken im Darknet
Sandra Wittmer; Martin Steinebach
Multimedia und Recht 10, 2019
Darknets as Tools for Cyber Warfare
Kai Denker; Marcel Schäfer; Martin Steinebach
Information Technology for Peace and Security. IT Applications and Infrastructures in Conflicts, Crises, War, and Peace, 2019
Data-Leakage-Tracking durch digitale Wasserzeichen
Sascha Zmudzinski; Martin Steinebach
KES. Zeitschrift für Kommunikations- und EDV-Sicherheit 5, 2019, p.12-16
Detection and Analysis of Tor Onion Services
Martin Steinebach; Marcel Schäfer; Alexander Karakuz; Katharina Brandl; York Yannikos
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-66
FraunhoferSIT at GermEval 2019: Can Machines Distinguish Between Offensive Language and Hate Speech? Towards a Fine-Grained Classification
Inna Vogel; Roey Regev
Proceedings of the 15th Conference on Natural Language Processing, KONVENS 2019, Erlangen, Germany, October 9-11, 2019, 2019
Improved Manipulation Detection with Convolutional Neural Network for JPEG Images
Huajian Liu; Martin Steinebach; Kathrin Schölei
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-39
Interpretierbare Verifizierung von Autorschaft
Lukas Graner; Martin Steinebach
Blick in die Blackbox. Nachvollziehbarkeit von KI-Algorithmen in der Praxis, 2019, p.33-41
Kommunikation als Gefahr - Nutzerreaktion auf Nachrichten mit verdächtigen Links per E-Mail und Facebook
Freya Gassmann; Zinaida Benenson; Robert Landwirth
Österreichische Zeitschrift für Soziologie, 2019, Vol.44, p.135-155
Privacy and Robust Hashes
Martin Steinebach; Sebastian Lutz; Huajian Liu
Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES 2019, Canterbury, UK, August 26-29, 2019, 2019, p.1-70
Security Managers Are Not The Enemy Either
Lena Reinfelder; Robert Landwirth; Zinaida Benenson
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019, 2019, p.433
Technisierung - Technische Möglichkeiten zur Verfolgung von Arzneimittelstraftaten im Internet
Martin Steinebach; York Yannikos; Oren Halvani; Annika Pflug
Auswirkungen der Liberalisierung des Internethandels in Europa auf die Arnzeimittelkriminalität, 2019, p.825-855
The need for steganalysis in image distribution channels
Martin Steinebach; Huajian Liu; Andre Ester
Journal of Cyber Security and Mobility 8/3, 2019, p.365-392
Unary and Binary Classification Approaches and their Implications for Authorship Verification
Oren Halvani; Christian Winter; Lukas Graner
CoRR, 2019, Vol.abs/1901.00399
Advancing Big Data Benchmarks - Proceedings of the 2013 Workshop Series on Big Data Benchmarking, WBDB.cn, Xi an, China, July 16-17, 2013 and WBDB.us, San José, CA, USA, October 9-10, 2013 Revised Selected Papers
Benchmarking Multi-criteria Evaluation: A Proposed Method for the Definition of Benchmarks in Negotiation Public-Private Partnerships
Maria Rosaria Guarini; Fabrizio Battisti
Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30 - July 3, 2014, Proceedings, Part III, 2014, p.208-223
Benchmarking multi-criteria evaluation methodology s application for the definition of benchmarks in a negotiation-type public-private partnership. A case of study: the integrated action programmes of the Lazio Region
Maria Rosaria Guarini; Fabrizio Battisti
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