Cover Image

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Ji, Jiang, Wenbo, Zhang, Rui, Lu, Guoming, Li, Hongwei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion
by: Guo, Ji, et al.
Published: (2024)

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model
by: Guo, Ji, et al.
Published: (2024)

Backdoor Attacks against Hybrid Classical-Quantum Neural Networks
by: Guo, Ji, et al.
Published: (2024)

Combinational Backdoor Attack against Customized Text-to-Image Models
by: Jiang, Wenbo, et al.
Published: (2024)

BadTemplate: A Training-Free Backdoor Attack via Chat Template Against Large Language Models
by: Wang, Zihan, et al.
Published: (2026)

Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
by: He, Jiaming, et al.
Published: (2024)

A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information
by: Ghavami, Behnam, et al.
Published: (2024)

Black-Box Skill Stealing Attack from Proprietary LLM Agents: An Empirical Study
by: Wang, Zihan, et al.
Published: (2026)

Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
by: Chen, Tianxin, et al.
Published: (2026)

Black-Box Guardrail Reverse-engineering Attack
by: Yao, Hongwei, et al.
Published: (2025)

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

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
by: Yang, Yulong, et al.
Published: (2023)

Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
by: Zhao, Shiqian, et al.
Published: (2025)

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
by: Domico, Kyle, et al.
Published: (2025)

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
by: Xiang, Kunlan, et al.
Published: (2025)

Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models
by: Yang, Yiqi, et al.
Published: (2024)

Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
by: Ennaji, Sabrine, et al.
Published: (2025)

Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023)

DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
by: Dang, Pucheng, et al.
Published: (2024)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)

MPMA: Preference Manipulation Attack Against Model Context Protocol
by: Wang, Zihan, et al.
Published: (2025)

Quantifying the Risk of Transferred Black Box Attacks
by: Cox, Disesdi Susanna, et al.
Published: (2025)

Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)

Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
by: Zhang, Rui, et al.
Published: (2025)

Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
by: Souček, Tomáš, et al.
Published: (2025)

PolyJailbreak: Cross-Modal Jailbreaking Attacks on Black-Box Multimodal LLMs
by: Wang, Xinkai, et al.
Published: (2025)

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
by: Guo, Ji, et al.
Published: (2026)

Data-free Defense of Black Box Models Against Adversarial Attacks
by: Nayak, Gaurav Kumar, et al.
Published: (2022)

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
by: Shan, Shawn, et al.
Published: (2023)

Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries
by: Li, Xinfeng, et al.
Published: (2025)

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
by: Chen, Xuan, et al.
Published: (2024)

BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
by: Vo, Viet Quoc, et al.
Published: (2024)

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
by: Wang, Zihan, et al.
Published: (2025)

Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
by: Zhong, Xingwei, et al.
Published: (2025)

PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models
by: Zhang, Zhuomeng, et al.
Published: (2024)

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
by: Hong, Hanbin, et al.
Published: (2023)

How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
by: Panebianco, Francesco, et al.
Published: (2025)

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
by: Chang, Shuyu, et al.
Published: (2026)

ICL-EVADER: Zero-Query Black-Box Evasion Attacks on In-Context Learning and Their Defenses
by: He, Ningyuan, et al.
Published: (2026)