Copertina

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xue, Yanni, Hao, Haojie, Wang, Jiakai, Sheng, Qiang, Tao, Renshuai, Liang, Yu, Feng, Pu, Liu, Xianglong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
di: Wang, Ruotong, et al.
Pubblicazione: (2025)

A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
di: Sadrizadeh, Sahar, et al.
Pubblicazione: (2023)

Behavior Backdoor for Deep Learning Models
di: Wang, Jiakai, et al.
Pubblicazione: (2024)

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
di: Zhao, Pu, et al.
Pubblicazione: (2019)

Stealthy Multi-Task Adversarial Attacks
di: Guo, Jiacheng, et al.
Pubblicazione: (2024)

Stealthy Targeted Backdoor Attacks against Image Captioning
di: Fan, Wenshu, et al.
Pubblicazione: (2024)

Rethinking Targeted Adversarial Attacks For Neural Machine Translation
di: Wu, Junjie, et al.
Pubblicazione: (2024)

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
di: Wang, Lu, et al.
Pubblicazione: (2025)

AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
di: Kang, Mintong, et al.
Pubblicazione: (2024)

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
di: Zhang, Tianyuan, et al.
Pubblicazione: (2024)

Dullahan: Stealthy Backdoor Attack against Without-Label-Sharing Split Learning
di: Pu, Yuwen, et al.
Pubblicazione: (2024)

Defending against Backdoor Attack on Deep Neural Networks
di: Cheng, Hao, et al.
Pubblicazione: (2020)

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
di: Zhong, Zhiyuan, et al.
Pubblicazione: (2025)

Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
di: Cao, Yuxin, et al.
Pubblicazione: (2024)

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
di: Wang, Zhiwei, et al.
Pubblicazione: (2024)

Stealthy Attack on Large Language Model based Recommendation
di: Zhang, Jinghao, et al.
Pubblicazione: (2024)

Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection
di: Peng, Chuang, et al.
Pubblicazione: (2025)

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
di: Yang, Fan, et al.
Pubblicazione: (2024)

Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
di: Wu, Tao, et al.
Pubblicazione: (2024)

Compromising Embodied Agents with Contextual Backdoor Attacks
di: Liu, Aishan, et al.
Pubblicazione: (2024)

Query Recovery from Easy to Hard: Jigsaw Attack against SSE
di: Nie, Hao, et al.
Pubblicazione: (2024)

PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
di: Liu, Dazhuang, et al.
Pubblicazione: (2026)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving
di: Liu, Aishan, et al.
Pubblicazione: (2025)

Scalable and Optimal Security Allocation in Networks against Stealthy Injection Attacks
di: Nguyen, Anh Tung, et al.
Pubblicazione: (2024)

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
di: Wei, Jiali, et al.
Pubblicazione: (2026)

Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
di: Luo, Xinjian, et al.
Pubblicazione: (2020)

Mistletoe: Stealthy Acceleration-Collapse Attacks on Speculative Decoding
di: Sun, Shuoyang, et al.
Pubblicazione: (2026)

CogMorph: Cognitive Morphing Attacks for Text-to-Image Models
di: Jing, Zonglei, et al.
Pubblicazione: (2025)

PDA: Text-Augmented Defense Framework for Robust Vision-Language Models against Adversarial Image Attacks
di: Xu, Jingning, et al.
Pubblicazione: (2026)

Robustness Certificates for Neural Networks against Adversarial Attacks
di: Taheri, Sara, et al.
Pubblicazione: (2025)

DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples
di: Nafi, Abdullah Al Nomaan, et al.
Pubblicazione: (2025)

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
di: Ying, Zonghao, et al.
Pubblicazione: (2024)

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
di: Xue, Haotian, et al.
Pubblicazione: (2023)

Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
di: Lyu, Xiaoting, et al.
Pubblicazione: (2024)

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
di: Yang, He, et al.
Pubblicazione: (2026)

A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
di: Xu, Xiaoyang, et al.
Pubblicazione: (2024)

BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators
di: Tian, Yu, et al.
Pubblicazione: (2024)

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
di: Li, Simin, et al.
Pubblicazione: (2023)

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models
di: Zhang, Yiyang, et al.
Pubblicazione: (2026)

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
di: Liao, Yifan, et al.
Pubblicazione: (2025)