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
On the State of the Art in Authorship Attribution and Authorship VerificationCode1
Can Large Language Models Identify Authorship?Code1
Similarity Learning for Authorship Verification in Social MediaCode0
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
Explainable Authorship Verification in Social Media via Attention-based Similarity LearningCode0
Generalizing Unmasking for Short TextsCode0
GLAD: Groningen Lightweight Authorship DetectionCode0
Heuristic Authorship ObfuscationCode0
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferCode0
Identifying Copied Fragments in a 18th Century Dutch ChronicleCode0
Image Provenance Analysis at ScaleCode0
Improving Quotation Attribution with Fictional Character EmbeddingsCode0
InstructAV: Instruction Fine-tuning Large Language Models for Authorship VerificationCode0
Learning Universal Authorship RepresentationsCode0
LG4AV: Combining Language Models and Graph Neural Networks for Author VerificationCode0
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship VerificationCode0
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship AttributionCode0
Same Author or Just Same Topic? Towards Content-Independent Style RepresentationsCode0
Same or Different? Diff-Vectors for Authorship AnalysisCode0
Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate ShiftCode0
Rethinking the Authorship Verification Experimental SetupsCode0
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark WebCode0
Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence—0
Sample Size in Arabic Authorship Verification—0
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification—0
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements—0
Social Media Writing Style Fingerprint—0
Improving Authorship Verification using Linguistic Divergence—0
A Step Towards Interpretable Authorship Verification—0
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin—0
TAVeer: An Interpretable Topic-Agnostic Authorship Verification Method—0
Learning Stylometric Representations for Authorship Analysis—0
Authorship Verification - An Approach based on Random Forest—0
Authorship Verification, Average Similarity Analysis—0
The Questio de aqua et terra: A Computational Authorship Verification Study—0
Authorship Verification based on the Likelihood Ratio of Grammar Models—0
Tokenization is Sensitive to Language Variation—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
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