SOTAVerified

Authorship Verification

Authorship verification (AV) is a research subject in the field of digital text forensics that concerns itself with the question, whether two documents have been written by the same person.

Definition taken from the paper Assessing the Applicability of Authorship Verification Methods, available at:

Papers

Showing 125 of 68 papers

TitleStatusHype
Can Large Language Models Identify Authorship?Code1
On the State of the Art in Authorship Attribution and Authorship VerificationCode1
On the Usefulness of Personality Traits in Opinion-oriented Tasks0
Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence0
Learning Stylometric Representations for Authorship Analysis0
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification0
Authorship Verification - An Approach based on Random Forest0
Experiments with Neural Networks for Small and Large Scale Authorship Verification0
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation0
A Step Towards Interpretable Authorship Verification0
Improving Authorship Verification using Linguistic Divergence0
POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis0
Exploration of Masked and Causal Language Modelling for Text Generation0
MedLatinEpi and MedLatinLit: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts0
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements0
Assessing the Applicability of Authorship Verification Methods0
Clustering Images by Unmasking - A New Baseline0
Compromised account detection using authorship verification: a novel approach0
Authorship Verification, Average Similarity Analysis0
Deep Bayes Factor Scoring for Authorship Verification0
Detecting Troll Tweets in a Bilingual Corpus0
Distance-Based Authorship Verification Across Modern Standard Arabic Genres0
Authorship Verification based on the Likelihood Ratio of Grammar Models0
Distractorless Authorship Verification0
Robust Authorship Verification with Transfer Learning0
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