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Adversarial-robustness-toolbox Alternatives
Similar projects and alternatives to adversarial-robustness-toolbox
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auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
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DeepRobust
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TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
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Mergify
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mortar
evasion technique to defeat and divert detection and prevention of security products (AV/EDR/XDR) (by 0xsp-SRD)
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gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
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cleverhans
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invisible-watermark
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backdoor-learning-resources
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counterfit
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better adversarial-robustness-toolbox alternative or higher similarity.
adversarial-robustness-toolbox reviews and mentions
Posts with mentions or reviews of adversarial-robustness-toolbox.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-22.
- [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
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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.
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A note from our sponsor - Mergify
blog.mergify.com | 23 Sep 2023
Stats
Basic adversarial-robustness-toolbox repo stats
8
3,952
9.5
7 days ago
Trusted-AI/adversarial-robustness-toolbox is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of adversarial-robustness-toolbox is Python.
Popular Comparisons
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- adversarial-robustness-toolbox VS waf-bypass
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Write Clean Python Code. Always.
Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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