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liuxuannanMultimodal generative model jailbreaking: a survey
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Summary
This repository serves as a comprehensive survey of jailbreak attacks and defense mechanisms targeting multimodal generative models. It addresses the critical need for understanding and mitigating vulnerabilities in AI systems that process diverse data types like text, images, and audio. Aimed at researchers, engineers, and security professionals, it offers a structured overview of the evolving landscape, enabling rapid assessment of current threats and solutions in multimodal AI security.
How It Works
The project systematically categorizes multimodal jailbreak vulnerabilities and defenses across four distinct lifecycle levels: input, encoder, generator, and output. It provides a detailed taxonomy of attack methods and defense strategies, covering various input-output modalities such as Any-to-Text, Any-to-Vision, and Any-to-Any. This structured approach allows for a granular understanding of how attacks are formulated and how defenses can be implemented at different stages of the generative process.
Quick Start & Requirements
This repository functions as a curated collection of research papers and resources rather than a deployable software. Navigation is facilitated through the detailed table of contents, guiding users to specific sections on models, attacks, defenses, and evaluation. No specific installation or computational requirements are listed, as it is an informational resource.
Highlighted Details
Maintenance & Community
The repository is described as "constantly updated" to ensure the inclusion of the most current information. Specific community channels or active maintenance team details are not provided.
Licensing & Compatibility
No specific open-source license or compatibility information is mentioned within the provided text.
Limitations & Caveats
As a survey, the repository is a snapshot of research and may not encompass all emerging threats or defenses. It focuses on academic and research resources, not on providing a ready-to-use security tool or framework.
17 hours ago
Inactive
llm-attacks
meta-llama