Multi-Stage Text Styling for Fluent Authorship Obfuscation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing authorship obfuscation methods typically rely on a single technique, which may not effectively mask the authorship across diverse writing styles, and fail to maintain stylistic consistency and fluency in transformed text.
Innovation Solution
A system and method utilizing a processing pipeline that applies multiple styling techniques, including large language models, machine translation, and style transfer, combined with homographic attacks, to generate output text that is stylistically distinct from the input while maintaining fluency and preserving meaning, using metrics to optimize the transformation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single styling technique is used for authorship obfuscation, then the transformation process is simple, but the obfuscation effectiveness is insufficient across diverse writing styles
Solution Approach 1:
The patent segments the authorship obfuscation process into multiple independent styling techniques (e.g., synonym replacement, sentence restructuring, passive voice conversion) that can be applied separately and combined. Each technique targets specific linguistic features, allowing the system to achieve comprehensive obfuscation across diverse writing styles without requiring a single complex transformation method.
Solution Approach 2:
The patent combines multiple styling techniques into a composite transformation pipeline, where each technique contributes different obfuscation capabilities. This composite approach integrates the strengths of various styling methods (lexical, syntactic, structural transformations) to create a robust obfuscation system that maintains effectiveness across different authoring styles while managing complexity through modular design.
2Reliability
If multiple styling techniques are applied to mask authorship, then obfuscation effectiveness improves, but maintaining stylistic consistency and fluency becomes more difficult
Solution Approach 1:
The patent implements dynamic styling technique selection that adapts to the input text's characteristics. The system analyzes the original writing style and selectively applies styling techniques that preserve the essential stylistic features while achieving obfuscation. This dynamic approach ensures that the transformed text maintains fluency and stylistic consistency even when multiple techniques are applied, as the system adjusts the intensity and combination of techniques based on the specific text being processed.
3Reliability
If styling techniques transform the text to a different style, then authorship is obfuscated, but the text may lose fluency and naturalness
Solution Approach 1:
The patent applies styling techniques partially rather than uniformly across all text elements. The system selectively applies transformations to specific linguistic features (e.g., replacing only certain types of sentences, applying synonym replacement at controlled rates) to achieve sufficient obfuscation while preserving overall text fluency. This partial application prevents over-transformation that would make the text sound unnatural, balancing obfuscation effectiveness with readability.
Data Source
AI summary
A method includes processing, by a system, input text, by applying a styling technique to at least a portion of the input text. Applying the styling technique generates intermediate output text of a style different from a style of the input text. The styling technique is selected based on one or more metrics associated with generating the intermediate output text. The method includes processing, by the system, the intermediate output text, wherein processing the intermediate output text includes generating output text different from the input text and the intermediate output text. Generating the output text includes applying homographic attacks to the intermediate output text.