Cover Image

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Macko, Dominik, Moro, Robert, Uchendu, Adaku, Srba, Ivan, Lucas, Jason Samuel, Yamashita, Michiharu, Tripto, Nafis Irtiza, Lee, Dongwon, Simko, Jakub, Bielikova, Maria
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
by: Macko, Dominik, et al.
Published: (2023)

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
by: Tripto, Nafis Irtiza, et al.
Published: (2023)

BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages
by: Lucas, Jason, et al.
Published: (2026)

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
by: Macko, Dominik, et al.
Published: (2025)

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
by: Macko, Dominik, et al.
Published: (2024)

Authorship Attribution in Multilingual Machine-Generated Texts
by: La Cava, Lucio, et al.
Published: (2025)

CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis
by: Venkatraman, Saranya, et al.
Published: (2024)

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors
by: Macko, Dominik, et al.
Published: (2025)

TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
by: Uchendu, Adaku, et al.
Published: (2023)

GPT-who: An Information Density-based Machine-Generated Text Detector
by: Venkatraman, Saranya, et al.
Published: (2023)

Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systems
by: Hrckova, Andrea, et al.
Published: (2022)

DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
by: Lucas, Jason, et al.
Published: (2026)

Beyond checkmate: exploring the creative chokepoints in AI text
by: Tripto, Nafis Irtiza, et al.
Published: (2025)

mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
by: Macko, Dominik, et al.
Published: (2026)

Disinformation Capabilities of Large Language Models
by: Vykopal, Ivan, et al.
Published: (2023)

Interpretable Predictability-Based AI Text Detection: A Replication Study
by: Skurla, Adam, et al.
Published: (2026)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
by: Pecher, Branislav, et al.
Published: (2026)

Multilingual and Multi-topical Benchmark of Fine-tuned Language models and Large Language Models for Check-Worthy Claim Detection
by: Hyben, Martin, et al.
Published: (2023)

CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European Languages
by: Macko, Dominik, et al.
Published: (2025)

Echoes of Automation: The Increasing Use of LLMs in Newsmaking
by: Ansari, Abolfazl, et al.
Published: (2025)

mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
by: Skurla, Adam, et al.
Published: (2026)

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification
by: Cegin, Jan, et al.
Published: (2024)

Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
by: Alperin, Kenneth, et al.
Published: (2025)

Multilingual Previously Fact-Checked Claim Retrieval
by: Pikuliak, Matúš, et al.
Published: (2023)

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
by: Cegin, Jan, et al.
Published: (2024)

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
by: Pecher, Branislav, et al.
Published: (2024)

Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
by: Nahar, Mahjabin, et al.
Published: (2026)

Topological Data Analysis Applications in Natural Language Processing: A Survey
by: Uchendu, Adaku, et al.
Published: (2024)

Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
by: Yamashita, Michiharu, et al.
Published: (2025)

Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
by: Pecher, Branislav, et al.
Published: (2024)

Fake Resume Attacks: Data Poisoning on Online Job Platforms
by: Yamashita, Michiharu, et al.
Published: (2024)

MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
by: Hyben, Martin, et al.
Published: (2026)

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
by: Spiegel, Michal, et al.
Published: (2024)

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
by: Lee, Jooyoung, et al.
Published: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue
by: Al-Lawati, Ali, et al.
Published: (2026)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
by: Zugecova, Aneta, et al.
Published: (2024)

Evaluation of Multilingual LLMs Personalized Text Generation Capabilities Targeting Groups and Social-Media Platforms
by: Macko, Dominik
Published: (2026)

RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
by: Cegin, Jan, et al.
Published: (2025)

Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
by: Wang, Zhengxiang, et al.
Published: (2025)