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What AI says about MadryLab/robustness | Parse

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MadryLab/robustness

What AI says about MadryLab/robustness

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Data as of Oct 20, 2026Based on 46,664 AI responsesReviewed by Dimitry Apollonsky

AI summary

MadryLab/robustness is a Python library for experimenting with, training, and evaluating neural networks with a focus on adversarial robustness.

Hosted on GitHub

Mentioned in

<1%

across MadryLab/robustness’s markets · since Jul 5

The market map

AI Red Teaming Services

Mentioned in

#BrandMentioned inAvg. position

=1HiddenLayerMentioned in 36%Avg. position 32.8
=1NVIDIA GarakMentioned in 36%Avg. position 38.1
=1MindgardMentioned in 34%Avg. position 4.0
=1PyRITMentioned in 33%Avg. position 5.9
=1PromptfooMentioned in 32%Avg. position 21.3
=6Adversarial Robustness ToolboxMentioned in 21%Avg. position 61.7
=6GiskardMentioned in 20%Avg. position 5.6
=8Robust IntelligenceMentioned in 16%Avg. position 5.3
=8LakeraMentioned in 16%Avg. position 5.6
=10Protect AIMentioned in 11%Avg. position 102.8
=10Palo Alto NetworksMentioned in 9%Avg. position 5.8
=10AdversaMentioned in 9%Avg. position 62.8
=13GraySwan AIMentioned in 8%Avg. position 5.2
=13CleverHansMentioned in 8%Avg. position 4.8

Where AI mentions MadryLab/robustness

Each engine’s share of its own answers across MadryLab/robustness’s markets · since Jul 5

ChatGPT Search<1%
Google AI Mode

A cited page to review

This page is cited in 10% of the answers that name MadryLab/robustness.

Check whether this page mentions your business and whether its details are accurate before contacting the publisher.

All-time evidence through 2026-09-12.

Review the page on arxiv.org (opens in a new tab)

Track MadryLab/robustness: see where AI mentions it and what to do next.

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Other brands in AI Red Teaming Services

Rank

HiddenLayer#1
Mindgard#1

See where AI mentions MadryLab/robustness

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Where MadryLab/robustness ranks in AI

AI Red Teaming Services=61 · 1%in this market

0%

NVIDIA Garak

#1

Adversarial Robustness Toolbox#6

Sources AI cites

github.com 11%Other sites 89%

28%
- arXiv · 11% (opens in a new tab)
- arxiv.org · 6% (opens in a new tab)
- Fast is better than free: Revisiting adversarial training · 6% (opens in a new tab)
- A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies · 6% (opens in a new tab)
22%
Owned11%
- GitHub - MadryLab/robustness: A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness. · 6% (opens in a new tab)
- robustness/docs/index.rst at master · MadryLab/robustness · GitHub · 6% (opens in a new tab)
11%
- [P] Robustness: a library for training and experimenting with standard and robust training · 11% (opens in a new tab)
6%
- Robustness Organizations in AI Safety (37) | AI Safety Directory · 6% (opens in a new tab)
6%
- Adversarial machine learning - Wikipedia · 6% (opens in a new tab)
6%
- Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning - Microsoft Research · 6% (opens in a new tab)
6%
- Adversarial Robustness Benchmark · 6% (opens in a new tab)
6%
- Robust AI - ML Systems Textbook · 6% (opens in a new tab)

Questions and answers

QuestionMentioned in

We are preparing to defend against adversarial attacks on images. Who offers robust model training?on this questionMentioned in 11%