SaaSHub helps you find the best software and product alternatives Learn more →
Adversarial-robustness-toolbox Alternatives
Similar projects and alternatives to adversarial-robustness-toolbox
-
auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
-
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
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
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
-
unrpa
A program to extract files from the RPA archive format.
-
-
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
-
invisible-watermark
python library for invisible image watermark (blind image watermark)
-
backdoor-learning-resources
A list of backdoor learning resources
-
counterfit
a CLI that provides a generic automation layer for assessing the security of ML models
-
mortar
evasion technique to defeat and divert detection and prevention of security products (AV/EDR/XDR) (by 0xsp-SRD)
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
adversarial-robustness-toolbox reviews and mentions
- [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?
-
[D] Does anyone care about adversarial attacks anymore?
Check out this project https://github.com/Trusted-AI/adversarial-robustness-toolbox
-
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.
-
[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.
-
A note from our sponsor - SaaSHub
www.saashub.com | 29 Mar 2024
Stats
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
- adversarial-robustness-toolbox VS DeepRobust
- adversarial-robustness-toolbox VS auto-attack
- adversarial-robustness-toolbox VS TextAttack
- adversarial-robustness-toolbox VS alpha-zero-boosted
- adversarial-robustness-toolbox VS m2cgen
- adversarial-robustness-toolbox VS waf-bypass
- adversarial-robustness-toolbox VS Differential-Privacy-Guide
- adversarial-robustness-toolbox VS gretel-synthetics
- adversarial-robustness-toolbox VS unrpa
- adversarial-robustness-toolbox VS mortar