https://github.com/ropgen/ropgen
공식 코드RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Papers with Code 아카이브
Authorship Attribution
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Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sanda-avram/rost-source-code
공식 코드A comparison of several AI techniques for authorship attribution on Romanian texts
https://github.com/saranya-venkatraman/gpt-who
공식 코드GPT-who: An Information Density-based Machine-Generated Text Detector
https://github.com/sashakolpakov/ripple_in_time
공식 코드https://github.com/silvia-cor/syllabicquantity_latin
공식 코드Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
https://github.com/silvia-cor/xaid
공식 코드https://github.com/uzh-rpg/authorship_attribution
공식 코드Cracking Double-Blind Review: Authorship Attribution with Deep Learning
https://github.com/uzl-its/ocean
공식 코드https://github.com/vageeshsaxena/matched
공식 코드MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
https://github.com/versotym/kundera
공식 코드Unsigned Play by Milan Kundera? An Authorship Attribution Study
https://github.com/zge/authorship-attribution
공식 코드Authorship Attribution Using a Neural Network Language Model
https://github.com/MindSpore-paper-code-3/code9/tree/main/transformer_xl
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
https://github.com/amritabh/chatgpt-as-detector
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
https://github.com/amritabh/conda-gen-text-detection
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
https://github.com/anutkk/RambaNet
https://github.com/asad1996172/Authorship-attribution-using-CNN
https://github.com/c567wang/Maze-of-Stars
Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber
https://github.com/equiw/code-imitator
Misleading Authorship Attribution of Source Code using Adversarial Learning
https://github.com/sbadirli/Open-Set-Authorship-Attribution
Open Set Authorship Attribution toward Demystifying Victorian Periodicals
https://github.com/xashru/bangla-text-classification
https://gitlab.com/tony-hn/stylomet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.