Imagen de Portada

SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Han, Xu, Zhi, Zhang, Xiaotong, Zhang, Feng, Xu, Xiaoming, Wang, Wei, Ma, Fenglong, Yu, Hong
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
por: Liu, Han, et al.
Publicado: (2024)

HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
por: Liu, Han, et al.
Publicado: (2026)

Fast Adversarial Training against Textual Adversarial Attacks
por: Yang, Yichen, et al.
Publicado: (2024)

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

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
por: Liu, Han, et al.
Publicado: (2026)

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
por: Lin, Tzu-Ling, et al.
Publicado: (2025)

TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models
por: Xu, Zhi, et al.
Publicado: (2026)

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

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
por: Liu, Fan, et al.
Publicado: (2024)

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
por: Lu, Ning, et al.
Publicado: (2023)

Style Attack Disguise: When Fonts Become a Camouflage for Adversarial Intent
por: Zhang, Yangshijie, et al.
Publicado: (2025)

Emoti-Attack: Zero-Perturbation Adversarial Attacks on NLP Systems via Emoji Sequences
por: Zhang, Yangshijie
Publicado: (2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
por: Mu, Honglin, et al.
Publicado: (2024)

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
por: Xu, Yue, et al.
Publicado: (2024)

Combating Adversarial Attacks with Multi-Agent Debate
por: Chern, Steffi, et al.
Publicado: (2024)

GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
por: Ma, Yating, et al.
Publicado: (2024)

Understanding Model Ensemble in Transferable Adversarial Attack
por: Yao, Wei, et al.
Publicado: (2024)

Claim-Guided Textual Backdoor Attack for Practical Applications
por: Song, Minkyoo, et al.
Publicado: (2024)

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks?
por: Mu, Junjie, et al.
Publicado: (2025)

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

OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
por: Lewoniewski, Włodzimierz, et al.
Publicado: (2024)

Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
por: Xu, Rongwu, et al.
Publicado: (2024)

SynDec: A Synthesize-then-Decode Approach for Arbitrary Textual Style Transfer via Large Language Models
por: Sun, Han, et al.
Publicado: (2025)

STACK: Adversarial Attacks on LLM Safeguard Pipelines
por: McKenzie, Ian R., et al.
Publicado: (2025)

Adversarial Attacks and Defense for Conversation Entailment Task
por: Yang, Zhenning, et al.
Publicado: (2024)

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
por: Cheng, Pengzhou, et al.
Publicado: (2024)

ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
por: Chen, Yiyi, et al.
Publicado: (2025)

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

A Generative Adversarial Attack for Multilingual Text Classifiers
por: Roth, Tom, et al.
Publicado: (2024)

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

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
por: Li, Xingyu, et al.
Publicado: (2025)

THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
por: Ma, Zhiqing, et al.
Publicado: (2026)

SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
por: Dong, Xiaoning, et al.
Publicado: (2024)

A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
por: Mo, Lingbo, et al.
Publicado: (2024)

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

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
por: Xu, Zhao, et al.
Publicado: (2024)

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

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

Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm
por: Hou, Nan, et al.
Publicado: (2026)

Paraphrasing Adversarial Attack on LLM-as-a-Reviewer
por: Kaneko, Masahiro
Publicado: (2026)