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Implementation of "Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods"
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.
The Security Toolkit for LLM Interactions
A Toolbox for Adversarial Robustness Research
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
A curated list of useful resources that cover Offensive AI.
[HELP REQUESTED] Generalized Additive Models in Python