Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion
Fuente:
arXiv
Saved in:
| Main Authors: | Soto, Rafael Rivera, Chen, Barry, Andrews, Nicholas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language Models Optimized to Fool Detectors Still Have a Distinct Style (And How to Change It)
by: Soto, Rafael Rivera, et al.
Published: (2025)
by: Soto, Rafael Rivera, et al.
Published: (2025)
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
by: Rastogi, Saksham, et al.
Published: (2024)
by: Rastogi, Saksham, et al.
Published: (2024)
Few-Shot Detection of Machine-Generated Text using Style Representations
by: Soto, Rafael Rivera, et al.
Published: (2024)
by: Soto, Rafael Rivera, et al.
Published: (2024)
MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
by: Jadhav, Suramya, et al.
Published: (2025)
by: Jadhav, Suramya, et al.
Published: (2025)
Paraphrasing Adversarial Attack on LLM-as-a-Reviewer
by: Kaneko, Masahiro
Published: (2026)
by: Kaneko, Masahiro
Published: (2026)
Action Controlled Paraphrasing
by: Shi, Ning, et al.
Published: (2024)
by: Shi, Ning, et al.
Published: (2024)
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
by: Cheng, Ming, et al.
Published: (2024)
by: Cheng, Ming, et al.
Published: (2024)
Perturb Your Data: Paraphrase-Guided Training Data Watermarking
by: Shetty, Pranav, et al.
Published: (2025)
by: Shetty, Pranav, et al.
Published: (2025)
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)
by: Li, Yuexin, et al.
Published: (2026)
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment
by: Nayak, Kota Shamanth Ramanath, et al.
Published: (2024)
by: Nayak, Kota Shamanth Ramanath, et al.
Published: (2024)
PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases
by: Schlegel, Udo, et al.
Published: (2025)
by: Schlegel, Udo, et al.
Published: (2025)
AMPS: ASR with Multimodal Paraphrase Supervision
by: Gupta, Abhishek, et al.
Published: (2024)
by: Gupta, Abhishek, et al.
Published: (2024)
You Didn't Have to Say It like That: Subliminal Learning from Faithful Paraphrases
by: Gisler, Isaia, et al.
Published: (2026)
by: Gisler, Isaia, et al.
Published: (2026)
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
by: Cheng, Ming, et al.
Published: (2025)
by: Cheng, Ming, et al.
Published: (2025)
On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis
by: Bhargava, Naman, et al.
Published: (2025)
by: Bhargava, Naman, et al.
Published: (2025)
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
by: Yadav, Vikas, et al.
Published: (2024)
by: Yadav, Vikas, et al.
Published: (2024)
Paraphrase-Aligned Machine Translation
by: Chang, Ke-Ching, et al.
Published: (2024)
by: Chang, Ke-Ching, et al.
Published: (2024)
PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks
by: Zha, Yiwei, et al.
Published: (2025)
by: Zha, Yiwei, et al.
Published: (2025)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
by: Ranganath, Suraj, et al.
Published: (2026)
by: Ranganath, Suraj, et al.
Published: (2026)
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation
by: Jayawardena, Lasal, et al.
Published: (2024)
by: Jayawardena, Lasal, et al.
Published: (2024)
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
by: Shetty, Anudeex, et al.
Published: (2024)
by: Shetty, Anudeex, et al.
Published: (2024)
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
by: Jung, Jaehun, et al.
Published: (2023)
by: Jung, Jaehun, et al.
Published: (2023)
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
by: Cheng, Yize, et al.
Published: (2025)
by: Cheng, Yize, et al.
Published: (2025)
RAFT: Realistic Attacks to Fool Text Detectors
by: Wang, James, et al.
Published: (2024)
by: Wang, James, et al.
Published: (2024)
Paraphrasing Attack Resilience of Various AI-Generated Text Detection Methods
by: Shportko, Andrii, et al.
Published: (2026)
by: Shportko, Andrii, et al.
Published: (2026)
Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
by: Wang, Mingyi, et al.
Published: (2026)
by: Wang, Mingyi, et al.
Published: (2026)
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
by: Murakami, Soichiro, et al.
Published: (2025)
by: Murakami, Soichiro, et al.
Published: (2025)
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
by: Wang, Tianchun, et al.
Published: (2024)
by: Wang, Tianchun, et al.
Published: (2024)
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset
by: Murakami, Soichiro, et al.
Published: (2025)
by: Murakami, Soichiro, et al.
Published: (2025)
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity
by: Jayawardena, Lasal, et al.
Published: (2024)
by: Jayawardena, Lasal, et al.
Published: (2024)
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
by: Kim, Hyunjae, et al.
Published: (2024)
by: Kim, Hyunjae, et al.
Published: (2024)
CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
by: Guo, Hanxi, et al.
Published: (2025)
by: Guo, Hanxi, et al.
Published: (2025)
Zero2Text: Zero-Training Cross-Domain Inversion Attacks on Textual Embeddings
by: Kim, Doohyun, et al.
Published: (2026)
by: Kim, Doohyun, et al.
Published: (2026)
Task-Oriented Paraphrase Analytics
by: Gohsen, Marcel, et al.
Published: (2024)
by: Gohsen, Marcel, et al.
Published: (2024)
Linguistically-Controlled Paraphrase Generation
by: Elgaar, Mohamed, et al.
Published: (2024)
by: Elgaar, Mohamed, et al.
Published: (2024)
Paraphrase Types for Generation and Detection
by: Wahle, Jan Philip, et al.
Published: (2023)
by: Wahle, Jan Philip, et al.
Published: (2023)
Improved Paraphrase Generation via Controllable Latent Diffusion
by: Zou, Wei, et al.
Published: (2024)
by: Zou, Wei, et al.
Published: (2024)
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
by: Schoenegger, Loris, et al.
Published: (2024)
by: Schoenegger, Loris, et al.
Published: (2024)
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification
by: Pesaranghader, Ali, et al.
Published: (2024)
by: Pesaranghader, Ali, et al.
Published: (2024)
Similar Items
-
Language Models Optimized to Fool Detectors Still Have a Distinct Style (And How to Change It)
by: Soto, Rafael Rivera, et al.
Published: (2025) -
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
by: Rastogi, Saksham, et al.
Published: (2024) -
Few-Shot Detection of Machine-Generated Text using Style Representations
by: Soto, Rafael Rivera, et al.
Published: (2024) -
MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
by: Jadhav, Suramya, et al.
Published: (2025) -
Paraphrasing Adversarial Attack on LLM-as-a-Reviewer
by: Kaneko, Masahiro
Published: (2026)