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Lukas Graner
Lukas Graner
未知所在单位机构
在 sit.fraunhofer.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
On the usefulness of compression models for authorship verification
O Halvani, C Winter, L Graner
Proceedings of the 12th international conference on availability …, 2017
522017
Authorship verification in the absence of explicit features and thresholds
O Halvani, L Graner, I Vogel
Advances in Information Retrieval: 40th European Conference on IR Research …, 2018
342018
Assessing the applicability of authorship verification methods
O Halvani, C Winter, L Graner
Proceedings of the 14th International Conference on Availability …, 2019
302019
Authorship verification based on compression-models
O Halvani, C Winter, L Graner
arXiv preprint arXiv:1706.00516, 2017
302017
Data corpora for digital forensics education and research
Y Yannikos, L Graner, M Steinebach, C Winter
Advances in Digital Forensics X: 10th IFIP WG 11.9 International Conference …, 2014
272014
TAVeer: an interpretable topic-agnostic authorship verification method
O Halvani, L Graner, R Regev
Proceedings of the 15th international conference on availability …, 2020
262020
Rethinking the evaluation methodology of authorship verification methods
O Halvani, L Graner
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018
152018
Cross-Domain Authorship Verification Based on Topic Agnostic Features.
O Halvani, L Graner, R Regev
CLEF (Working Notes), 2020
142020
Cross-domain authorship attribution based on compression
O Halvani, L Graner
Working Notes of CLEF, 2018
142018
Author Clustering based on Compression-based Dissimilarity Scores.
O Halvani, L Graner
CLEF (Working notes), 2017
102017
An improved topic masking technique for authorship analysis
O Halvani, L Graner, R Regev, P Marquardt
arXiv preprint arXiv:2005.06605, 2020
92020
POSNoise: An effective countermeasure against topic biases in authorship analysis
O Halvani, L Graner
Proceedings of the 16th International Conference on Availability …, 2021
72021
Unary and binary classification approaches and their implications for authorship verification
O Halvani, C Winter, L Graner
arXiv preprint arXiv:1901.00399, 2018
72018
A step towards interpretable authorship verification
O Halvani, L Graner, R Regev
arXiv preprint arXiv:2006.12418, 2020
62020
Anonymisierung und Pseudonymisierung von Daten für Projekte des maschinellen Lernens
P Aichroth, V Battis, A Dewes, C Dibak, V Doroshenko, B Geiger, L Graner, ...
Bitkom, 2020
62020
A Concise Analysis of Pasting Attacks and their Impact on Image Classification
N Bunzel, L Graner
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023
32023
LayoutExOmizer: Interactive exploration and optimization of 2d data layouts
P Schader, R Beckmann, L Graner, J Bernard
Eurographics, 2021
22021
Risiken für die Privatheit aufgrund von Maschinellem Lernen
V Battis, L Graner
Gesellschaft für Informatik, Bonn, 2021
22021
Assessing the Applicability of Authorship Verification Methods. In ro eedings of the IRth sntern tion l gonferen e on ev il ilityD eli ility nd e urity, ARES'19
O Halvani, C Winter, L Graner
New York, NY, USA, 10, 2019
22019
Author clustering based on compression-based dissimilarity scores—notebook for PAN at CLEF 2017
O Halvani, L Graner
Proceedings of the Conference and Labs of the Evaluation Forum and Workshop …, 2017
22017
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