thuccslab / awesome-lm-ssp Goto Github PK
View Code? Open in Web Editor NEWA reading list for large models safety, security, and privacy.
Home Page: https://github.com/ThuCCSLab/Awesome-LM-SSP
License: Apache License 2.0
A reading list for large models safety, security, and privacy.
Home Page: https://github.com/ThuCCSLab/Awesome-LM-SSP
License: Apache License 2.0
我认为Data Reconstruction是指从公共聚合信息中,部分重建私有数据集的方法。比如基于开源语言模型,加入私有数据进行训练。对私有数据的攻击是Data Reconstruction(刚接触这个领域,不知道这样描述对不对)。可是在Data Reconstruction中看到了[Extracting Training Data from Large Language Models]这篇文章。
Title | Link | Code | Venue | Classification | Model | Comment |
---|---|---|---|---|---|---|
Towards More Effective Protection Against Diffusion-Based Mimicry with Score Distillation | https://arxiv.org/abs/2311.12832 | https://github.com/xavihart/Diff-Protect | ICLR 2024 | C2. Copyright | Diffusion Model | protective perturbation of diffusion model |
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability | https://arxiv.org/abs/2305.16494 | https://github.com/xavihart/Diff-PGD | NeurIPS 2023 | B1. Adversarial Samples | Diffusion Model | generate stealthy adversarial samples |
👍 Thank you for creating and maintaining such a great repository. I found that these works have not been included and hope they can be added.
Title | Link | Code | Venue | Classification | Model | Comment |
---|---|---|---|---|---|---|
Query-Relevant Images Jailbreak Large Multi-Modal Models | https://arxiv.org/abs/2311.17600 | https://github.com/isXinLiu/MM-SafetyBench | arXiv'23 | A1. Jailbreak | VLM | |
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models | https://arxiv.org/abs/2402.03299 | arXiv'24 | A1. Jailbreak | LLM | ||
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks | https://arxiv.org/abs/2312.03777 | arXiv'23 | B1. Adversarial Examples | VLM | ||
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models | https://arxiv.org/abs/2402.13851 | arXiv'24 | B2. Poisoning | VLM |
Title | Link | Code | Venue | Classification | Model | Comment |
---|---|---|---|---|---|---|
Automatic and Universal Prompt Injection Attacks against Large Language Models | https://arxiv.org/abs/2403.04957 | https://github.com/SheltonLiu-N/Universal-Prompt-Injection | arXiv'24 | A7. Prompt Injection | LLM | Automatically generating highly effective and universal prompt injection data |
Hi, thank you for this great repo. Could you please add this new survey? Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Title | Link | Code | Venue | Classification | Model | Comment |
---|---|---|---|---|---|---|
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting | https://arxiv.org/abs/2403.09513 | https://github.com/rain305f/AdaShield | arXiv'24 | A1. Jailbreak | VLM | VLM Jailbreak Defense |
Thank you for this great paper collection! It will be my pleasure if my work can be included in the repo; thanks!
Title | Link | Code | Venue | Classification | Model | Comment |
---|---|---|---|---|---|---|
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning | https://arxiv.org/abs/2311.13127 | https://github.com/liuyixin-louis/MetaCloak | CVPR'24 Oral | B1. Adversarial Examples | Diffusion | a more robust protective perturbation framework for safeguarding portrait against customized diffusion models training |
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.