unrpa
adversarial-robustness-toolbox
| unrpa | adversarial-robustness-toolbox | |
|---|---|---|
| 2 | 8 | |
| 547 | 4,460 | |
| - | 1.2% | |
| 0.0 | 9.7 | |
| almost 2 years ago | 9 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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unrpa
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Sound effects in game?
For those, you'll have to extract them from the files themselves. To do this, you can use unrpa.
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:')
depends on the engine the game is using. the most easiest one to get the audio from is renpy using unrpa (https://github.com/Lattyware/unrpa), for games that use kirikiri you can use krkrextract (https://xmoeproject.github.io/KrkrExtract/), and for games that use nscript you can use nsaout used by insani (http://nscripter.insani.org/sdk.html). that should work on most vns but it depends on the vn, you can also get some that are unity by using UABE (https://community.7daystodie.com/topic/1871-unity-assets-bundle-extractor/)
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.
What are some alternatives?
renpy-rhythm - A light-weight rhythm game engine with auto beat map generation built with Ren'Py
DeepRobust - A pytorch adversarial library for attack and defense methods on images and graphs
sakunaTool - Tool for working with Sakuna of Rice and Ruin ARC files
auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
stanford-openie-python - Stanford Open Information Extraction made simple!
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
generate-renpy-scripting - Generate Ren'Py Scripting
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
TheAlgorithms - All Algorithms implemented in Python
waf-bypass - Check your WAF before an attacker does