Cover Image

Paraphrasing Adversarial Attack on LLM-as-a-Reviewer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kaneko, Masahiro
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Action Controlled Paraphrasing
by: Shi, Ning, et al.
Published: (2024)

LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
by: Leite, João A., et al.
Published: (2026)

ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity
by: Jayawardena, Lasal, et al.
Published: (2024)

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2026)

Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
by: Yadav, Vikas, et al.
Published: (2024)

Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
by: Kaneko, Masahiro, et al.
Published: (2025)

Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024)

Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation
by: Jayawardena, Lasal, et al.
Published: (2024)

Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment
by: Nayak, Kota Shamanth Ramanath, et al.
Published: (2024)

Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
by: Liu, Qihao, et al.
Published: (2025)

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
by: Jung, Jaehun, et al.
Published: (2023)

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models
by: Lin, Huawei, et al.
Published: (2025)

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
by: Zhang, Xiaomei, et al.
Published: (2025)

AMPS: ASR with Multimodal Paraphrase Supervision
by: Gupta, Abhishek, et al.
Published: (2024)

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
by: Tang, Haochun, et al.
Published: (2026)

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
by: Li, Yubo, et al.
Published: (2025)

An Embarrassingly Simple Defense Against LLM Abliteration Attacks
by: Shairah, Harethah Abu, et al.
Published: (2025)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
by: Yu, Xiaodong, et al.
Published: (2023)

Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2025)

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
by: Cheng, Pengyu, et al.
Published: (2023)

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
by: Chen, Jiaqi, et al.
Published: (2025)

The Resurgence of GCG Adversarial Attacks on Large Language Models
by: Tan, Yuting, et al.
Published: (2025)

AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
by: Liu, Haoyu, et al.
Published: (2026)

ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
by: Li, Peiran, et al.
Published: (2026)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)

Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
by: Dong, Zhichen, et al.
Published: (2024)

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
by: Shahariar, G M, et al.
Published: (2024)

On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks
by: Liu, Zesen, et al.
Published: (2024)

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training
by: Kumar, Harsh, et al.
Published: (2026)

Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion
by: Soto, Rafael Rivera, et al.
Published: (2024)

Certifying LLM Safety against Adversarial Prompting
by: Kumar, Aounon, et al.
Published: (2023)

Adversarial Tokenization
by: Geh, Renato Lui, et al.
Published: (2025)

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)

Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
by: Aldahoul, Nouar, et al.
Published: (2025)

Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training
by: Lin, Hender
Published: (2025)

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
by: Wang, Hao, et al.
Published: (2026)

SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2025)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
by: Wang, Yifei, et al.
Published: (2024)

JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks
by: Kaneko, Masahiro, et al.
Published: (2026)