founder-resource

Protect with Awesome-LVLM-Attack

Name: Protect with Awesome-LVLM-Attack
Author: liudaizong

Get curated attacks on large-vision-language-models for informed defense. For startup founders.

567 stars21 forksQuality 8/10Updated 7/15/2026100% free · open source

What it does

Provides a curated list of attacks on large-vision-language-models to help startup founders understand and defend against potential vulnerabilities in their AI systems

Install / run

Clone the repository using the command `git clone https://github.com/liudaizong/Awesome-LVLM-Attack.git`

When to use it

•When developing AI-powered vision or language systems and wanting to stress-test their security
•When researching potential vulnerabilities in large-vision-language-models to inform defense strategies
•When needing to stay up-to-date with the latest attacks and methods in the field of large-vision-language-models

Quick start

1Explore the `README.md` file for an overview of the curated list of attacks
2Browse the categorized list of attacks in the `attacks` directory
3Check the `contributing.md` file for guidelines on how to contribute to the repository
4Search for specific attacks or papers using the links provided in the `README.md` file
5Use the repository's issue tracker to ask questions or request help with implementing defense strategies

Ready-to-paste prompt

Search for 'adversarial attacks' in the `README.md` file to find relevant papers and methods: `grep -i 'adversarial attacks' README.md`

Heads up: Note that this repository is a curated list of attacks and does not provide executable code, so users will need to implement the attacks and defense strategies themselves or seek additional resources

Saves to your device

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

966K

repo size

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license

Key files

README.md