ST4RF4LL

ST4RF4LL's Stars

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.2k47518.5k5.6k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k3392674k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.8k385394.5k

• e2b-dev/awesome-ai-agents

  A list of AI autonomous agents

  9.9k18931714

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.8k1008831.2k

• QData/TextAttack

  TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

  Language:Python2.9k38276388

• meta-llama/PurpleLlama

  Set of tools to assess and improve LLM security.

  Language:Python2.5k4031426

• databricks/dbrx

  Code examples and resources for DBRX, a large language model developed by Databricks

  Language:Python2.5k4023236

• HarderThenHarder/transformers_tasks

  ⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

  Language:Jupyter Notebook2.1k1789377

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2k1160205

• leondz/garak

  LLM vulnerability scanner

  Language:Python1.3k17555150

• thu-coai/Safety-Prompts

  Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

  85172180

• Azure/counterfit

  a CLI that provides a generic automation layer for assessing the security of ML models

  Language:Python8003140128

• HowieHwong/TrustLLM

  [ICML 2024] TrustLLM: Trustworthiness in Large Language Models

  Language:Python43282740

• chbrian/awesome-adversarial-examples-dl

  A curated list of awesome resources for adversarial examples in deep learning

  26110055

• OWASP/www-project-ai-security-and-privacy-guide

  OWASP Foundation Web Respository

  Language:HTML199311353

• penghui-yang/awesome-data-poisoning-and-backdoor-attacks

  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)

  1763017

• ftramer/LM_Memorization

  Training data extraction on GPT-2

  Language:Python1687530

• alexdevassy/Machine_Learning_CTF_Challenges

  CTF challenges designed and implemented in machine learning applications

  Language:HTML1003225

• ZhaoyangLyu/POPQORN

  An Algorithm to Quantify Robustness of Recurrent Neural Networks

  Language:Python465112

• tpai/gandalf-prompt-injection-writeup

  A writeup for the Gandalf prompt injection game.

  36311

• TopRedTeam/OSCP2024

  OSCP Notes

  3010

• dependable-cps/adversarial-MTSR

  Language:Python293216

• LostOxygen/llm-confidentiality

  Whispers in the Machine: Confidentiality in LLM-integrated Systems

  Language:Python28213

• hyhmia/BlindMI

  Language:Python22226

• houshd/TS_Adv

  Codebase for the paper "Adversarial Attacks on Time Series"

  Language:Python18205

• XMCVE/polaris_ctf_collection

  用于备份CTF比赛题目，仅队内复现使用

  17100

• xiangyue9607/DP-Forward

  Language:Python16132

• niuliang42/CodexLeaks

  CodexLeaks: Privacy Leaks from Code Generation Language Models in GitHub Copilot

  Language:Python10101

• YinHeng121/Adam_attack

  Language:Python21