Cover Image

T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Siyuan, Liu, Jiayang, Zhai, Jiecheng, Fang, Tianmeng, Tu, Rongcheng, Liu, Aishan, Cao, Xiaochun, Tao, Dacheng
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TrapFlow: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning
by: Liang, Siyuan, et al.
Published: (2024)

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents
by: Liang, Siyuan, et al.
Published: (2025)

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

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
by: Yang, Feiyu, et al.
Published: (2025)

Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
by: Ren, Zhiyao, et al.
Published: (2025)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
by: Ying, Zonghao, et al.
Published: (2024)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)

SafeSteer: Adaptive Subspace Steering for Efficient Jailbreak Defense in Vision-Language Models
by: Zeng, Xiyu, et al.
Published: (2025)

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
by: Liu, Xuxu, et al.
Published: (2025)

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

Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
by: Qi, Leyi, et al.
Published: (2026)

Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning
by: Liu, Xinwei, et al.
Published: (2024)

Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
by: Nguyen, Quang Duc, et al.
Published: (2026)

TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking
by: Du, Mengyao, et al.
Published: (2026)

MacPrompt: Maraconic-guided Jailbreak against Text-to-Image Models
by: Ye, Xi, et al.
Published: (2026)

Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
by: Hao, Shuyang, et al.
Published: (2025)

How Jailbreak Defenses Work and Ensemble? A Mechanistic Investigation
by: Long, Zhuohang, et al.
Published: (2025)

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
by: Xu, Zihao, et al.
Published: (2024)

SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized Knowledge
by: Ying, Zonghao, et al.
Published: (2025)

AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens
by: Lu, Lin, et al.
Published: (2024)

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents
by: Wang, Xuan, et al.
Published: (2025)

Ellipsoid Control: A White-list Jailbreak Defense via Benign Latent Modeling
by: Chen, Luoyu, et al.
Published: (2026)

Metaphor-based Jailbreak Attacks on Text-to-Image Models
by: Zhang, Chenyu, et al.
Published: (2025)

Data to Defense: The Role of Curation in Customizing LLMs Against Jailbreaking Attacks
by: Liu, Xiaoqun, et al.
Published: (2024)

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024)

Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
by: Yang, Xianglin, et al.
Published: (2025)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
by: Yin, Ziyi, et al.
Published: (2025)

DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
by: Wang, Yi, et al.
Published: (2025)

Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense
by: Chen, Zejian, et al.
Published: (2026)

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

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
by: Xiong, Chen, et al.
Published: (2024)

Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs
by: Xiang, Shiyu, et al.
Published: (2025)

Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution
by: Zhang, Xiaozhe, et al.
Published: (2026)

$\textit{MMJ-Bench}$: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models
by: Weng, Fenghua, et al.
Published: (2024)

Does Few-shot Learning Suffer from Backdoor Attacks?
by: Liu, Xinwei, et al.
Published: (2023)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)

Revisiting JBShield: Breaking and Rebuilding Representation-Level Jailbreak Defenses
by: Derya, Kemal, et al.
Published: (2026)

DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
by: Wang, Zihao, et al.
Published: (2025)