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

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Showing 1–50 of 68 papers

TitleStatusHype
Can Large Language Models Identify Authorship?Code1
On the State of the Art in Authorship Attribution and Authorship VerificationCode1
Deep Bayes Factor Scoring for Authorship Verification—0
Detecting Troll Tweets in a Bilingual Corpus—0
Learning Stylometric Representations for Authorship Analysis—0
Distance-Based Authorship Verification Across Modern Standard Arabic Genres—0
Authorship Verification based on the Likelihood Ratio of Grammar Models—0
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification—0
MedLatinEpi and MedLatinLit: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts—0
Distractorless Authorship Verification—0
On the Usefulness of Personality Traits in Opinion-oriented Tasks—0
Experiments with Neural Networks for Small and Large Scale Authorship Verification—0
Robust Authorship Verification with Transfer Learning—0
Assessing the Applicability of Authorship Verification Methods—0
Same Author or Just Same Topic? Towards Topic-Independent Style Representations—0
A Step Towards Interpretable Authorship Verification—0
Sample Size in Arabic Authorship Verification—0
Exploration of Masked and Causal Language Modelling for Text Generation—0
Social Media Writing Style Fingerprint—0
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin—0
TAVeer: An Interpretable Topic-Agnostic Authorship Verification Method—0
The Questio de aqua et terra: A Computational Authorship Verification Study—0
Tokenization is Sensitive to Language Variation—0
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation—0
UMUTextStats: A linguistic feature extraction tool for Spanish—0
Unary and Binary Classification Approaches and their Implications for Authorship Verification—0
Unmasking the abnormal events in video—0
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification—0
Authorship Verification - An Approach based on Random Forest—0
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification—0
Authorship Verification, Average Similarity Analysis—0
Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence—0
Clustering Images by Unmasking - A New Baseline—0
Compromised account detection using authorship verification: a novel approach—0
POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis—0
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements—0
Improving Authorship Verification using Linguistic Divergence—0
Learning Universal Authorship RepresentationsCode0
Addressing Topic Leakage in Cross-Topic Evaluation for Authorship VerificationCode0
A Stylometric Inquiry into Hyperpartisan and Fake NewsCode0
Authorship Attribution Using Text DistortionCode0
Authorship Attribution Using Text DistortionCode0
Authorship Verification based on Compression-ModelsCode0
Authorship verification in the absence of explicit features and thresholdsCode0
Bias Analysis and Mitigation in the Evaluation of Authorship VerificationCode0
Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?Code0
CAVE: Controllable Authorship Verification ExplanationsCode0
Datasets and Models for Authorship Attribution on Italian Personal WritingsCode0
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation AttributionCode0
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New PerspectiveCode0
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