Results 251 to 260 of about 276,851 (299)

ALMs: Authorial Language Models for Authorship Attribution

arXiv.org
In this paper, we introduce an authorship attribution method called Authorial Language Models (ALMs) that involves identifying the most likely author of a questioned document based on the perplexity of the questioned document calculated for a set of ...
Weihang Huang, Akira Murakami, Jack Grieve   +2 more
semanticscholar   +1 more source

Malware Authorship Attribution Model using Runtime Modules based on Automated Analysis

JOIV: International Journal on Informatics Visualization, 2022
Malware authorship attribution is a research field that identifies the author of malware by extracting and analyzing features that relate the authors from the source code or binary code of malware.
Sangwook Lee, J. Cho
semanticscholar   +1 more source

Authorship attribution of Arabic tweets

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016
In tweet authentication, we are concerned with correctly attributing a tweet to its true author based on its textual content. The more general problem of authenticating long documents has been studied before and the most common approach relies on the intuitive idea that each author has a unique style that can be captured using stylometric features (SF).
Abdullateef Rabab'ah, Mahmoud Al-Ayyoub, Yaser Jararweh, Monther Aldwairi   +3 more
openaire   +1 more source

Deep Learning for Stylometry and Authorship Attribution: a Review of Literature

International Journal for Research in Applied Science and Engineering Technology
The application of deep learning techniques to stylometry and authorship attribution has emerged as a promising frontier in computational linguistics, offering new possibilities for understanding literary style and authorship in both historical and ...
Nishchal Sharma, Ajay Kumar
semanticscholar   +1 more source

Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution

International Conference on Computational Linguistics
Recent state-of-the-art authorship attribution methods learn authorship representations of texts in a latent, non-interpretable space, hindering their usability in real-world applications.
Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, S. Muresan, Kathleen McKeown   +5 more
semanticscholar   +1 more source

Authorship attribution in Arabic poetry

2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA), 2015
In this paper, we present the Arabic poetry as an authorship attribution task. Several features such as Characters, Sentence length; Word length, Rhyme, and First word in sentence are used as input data for Markov Chain methods. The data is filtered by removing the punctuation and alphanumeric marks that were present in the original text.
Alfalahi Ahmed, Mohamed Ramdani, Mostafa Bellafkih, Al-Sarem Mohammed   +3 more
openaire   +1 more source

Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin

NLP4DH
This paper evaluates the performance of Large Language Models (LLMs) in authorship attribu- tion and authorship verification tasks for Latin texts of the Patristic Era.
Gleb Schmidt, Svetlana Gorovaia, Ivan P. Yamshchikov   +2 more
semanticscholar   +1 more source

Code Authorship Attribution

ACM Computing Surveys, 2019
Code authorship attribution is the process of identifying the author of a given code. With increasing numbers of malware and advanced mutation techniques, the authors of malware are creating a large number of malware variants. To better deal with this problem, methods for examining the authorship of malicious code are necessary.
Vaibhavi Kalgutkar, Ratinder Kaur, Hugo Gonzalez, Natalia Stakhanova, Alina Matyukhina   +4 more
openaire   +1 more source

Estimating the probability of an authorship attribution

Journal of the Association for Information Science and Technology, 2015
In authorship attribution, various distance‐based metrics have been proposed to determine the most probable author of a disputed text. In this paradigm, a distance is computed between each author profile and the query text. These values are then employed only to rank the possible authors.
openaire   +2 more sources

Authorship Attribution of Android Apps

Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy, 2018
Since the first computer virus hit the Advanced Research Projects Agency Network (ARPANET) in the early 1970s, the security community interest revolved around ways to expose the identities of malware writers. Knowledge of the adversarial identities promised additional leverage to security experts in their ongoing battle against those perpetrators.
Hugo Gonzalez, Natalia Stakhanova, Ali A. Ghorbani 0001   +2 more
openaire   +1 more source