adversarial-robustness-toolbox
counterfit
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| adversarial-robustness-toolbox | counterfit | |
|---|---|---|
| 8 | 2 | |
| 4,433 | 755 | |
| 2.3% | 3.2% | |
| 9.7 | 2.1 | |
| 6 days ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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adversarial-robustness-toolbox
- [D] Couldn't devs of major GPTs have added an invisible but detectable watermark in the models?
- [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often?
- [D]: How safe is it to just use a strangers Model?
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[D] Does anyone care about adversarial attacks anymore?
Check out this project https://github.com/Trusted-AI/adversarial-robustness-toolbox
- adversarial-robustness-toolbox: Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
- Library for Machine Learning Security Evasion, Poisoning, Extraction, Inference
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Introduction to Adversarial Machine Learning
Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference.
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[D] Testing a model's robustness to adversarial attacks
Depending on what attacks you want I've found both https://github.com/cleverhans-lab/cleverhans and https://github.com/Trusted-AI/adversarial-robustness-toolbox to be useful.
counterfit
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Introduction to Adversarial Machine Learning
Counterfit is a command-line tool and generic automation layer for assessing the security of machine learning systems.
- Microsft Counterfit
What are some alternatives?
DeepRobust - A pytorch adversarial library for attack and defense methods on images and graphs
auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Differential-Privacy-Guide - Differential Privacy Guide
waf-bypass - Check your WAF before an attacker does
unrpa - A program to extract files from the RPA archive format.
gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
mortar - evasion technique to defeat and divert detection and prevention of security products (AV/EDR/XDR)
privacy - Library for training machine learning models with privacy for training data
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both