Cover Image

Text Adversarial Attacks with Dynamic Outputs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wenqiang, Liang, Siyuan, Yan, Xiao, Cao, Xiaochun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Backdoor Defense in CLIP
by: Kuang, Junhao, et al.
Published: (2024)

Physical Adversarial Camouflage through Gradient Calibration and Regularization
by: Liang, Jiawei, et al.
Published: (2025)

Bridging the Task Gap: Multi-Task Adversarial Transferability in CLIP and Its Derivatives
by: Liu, Kuanrong, et al.
Published: (2025)

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation
by: Lou, Tianrui, et al.
Published: (2025)

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
by: Liang, Jiawei, et al.
Published: (2024)

R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting
by: Lou, Tianrui, et al.
Published: (2026)

Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
by: Yao, Siyuan, et al.
Published: (2024)

BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
by: Liang, Siyuan, et al.
Published: (2023)

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
by: Liang, Jiawei, et al.
Published: (2024)

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
by: Liang, Siyuan, et al.
Published: (2024)

SGHA-Attack: Semantic-Guided Hierarchical Alignment for Transferable Targeted Attacks on Vision-Language Models
by: Wang, Haobo, et al.
Published: (2026)

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models via Intermediate Projector
by: Cao, Yiming, et al.
Published: (2025)

UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
by: Yao, Siyuan, et al.
Published: (2025)

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation
by: Liang, Jiawei, et al.
Published: (2022)

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

Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
by: Jia, Xiaojun, et al.
Published: (2024)

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
by: Jiang, Kaixun, et al.
Published: (2025)

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
by: Yao, Siyuan, et al.
Published: (2025)

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

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
by: Lou, Tianrui, et al.
Published: (2024)

UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
by: Li, Yanjie, et al.
Published: (2025)

Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
by: Miao, Honglei, et al.
Published: (2024)

PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving
by: Fu, Jiyuan, et al.
Published: (2024)

Dynamics-aware Adversarial Attack of Adaptive Neural Networks
by: Tao, An, et al.
Published: (2022)

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
by: Liu, Xinwei, et al.
Published: (2025)

Robust Anti-Backdoor Instruction Tuning in LVLMs
by: Xun, Yuan, et al.
Published: (2025)

Less is More: Fewer Interpretable Region via Submodular Subset Selection
by: Chen, Ruoyu, et al.
Published: (2024)

CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning
by: Xun, Yuan, et al.
Published: (2024)

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)

T2VAttack: Adversarial Attack on Text-to-Video Diffusion Models
by: Li, Changzhen, et al.
Published: (2025)

Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
by: Liang, Siyuan, et al.
Published: (2024)

Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks
by: Chen, Zhaoyu, et al.
Published: (2023)

Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
by: Wang, Chao, et al.
Published: (2023)

EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval
by: Chen, Yuhan, et al.
Published: (2026)

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

Query-Efficient Video Adversarial Attack with Stylized Logo
by: Tang, Duoxun, et al.
Published: (2024)

Distillation-Enhanced Physical Adversarial Attacks
by: Liu, Wei, et al.
Published: (2025)

T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks
by: Liu, Jiayang, et al.
Published: (2025)

Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
by: Zhu, Mingli, et al.
Published: (2024)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)