RRepoGEO

REPOGEO REPORT · LITE

cleverhans-lab/cleverhans

Default branch master · commit 574efc1d · scanned 6/24/2026, 11:16:51 AM

GitHub: 6,443 stars · 1,399 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
81 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface cleverhans-lab/cleverhans, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add the official project homepage URL

    Why:

    COPY-PASTE FIX
    https://cleverhans.readthedocs.io/
  • mediumreadme#2
    Emphasize multi-framework support in the README's opening

    Why:

    CURRENT
    This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples.
    COPY-PASTE FIX
    CleverHans is a Python library providing a standardized framework for implementing and benchmarking adversarial attacks and defenses across JAX, PyTorch, and TensorFlow 2.
  • lowtopics#3
    Add more specific topics for adversarial machine learning

    Why:

    CURRENT
    benchmarking, machine-learning, security
    COPY-PASTE FIX
    benchmarking, machine-learning, security, adversarial-machine-learning, adversarial-examples, ml-security, pytorch-attacks, jax-attacks

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
2 / 2
100% of queries surface cleverhans-lab/cleverhans
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
15%
Of all named tools, what % are you?
Top rival
IBM Adversarial Robustness Toolbox (ART)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. IBM Adversarial Robustness Toolbox (ART) · recommended 1×
  2. Foolbox · recommended 1×
  3. Microsoft Counterfit · recommended 1×
  4. Adversarial ML Threat Matrix (MITRE ATLAS) · recommended 1×
  5. RobustBench · recommended 1×
  • CATEGORY QUERY
    How can I assess the vulnerability of my machine learning models to adversarial examples?
    you: #2
    AI recommended (in order):
    1. IBM Adversarial Robustness Toolbox (ART)
    2. CleverHans ← you
    3. Foolbox
    4. Microsoft Counterfit
    5. Adversarial ML Threat Matrix (MITRE ATLAS)
    6. RobustBench
    7. ZOO (Zero-order Optimization)
    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to implement adversarial attacks and defenses in PyTorch or JAX.
    you: #4
    AI recommended (in order):
    1. Adversarial Robustness Toolbox (ART) (IBM/adversarial-robustness-toolbox)
    2. Foolbox (bethgelab/foolbox)
    3. Torchattacks (HarryPotterRule/torchattacks)
    4. CleverHans (cleverhans-lab/cleverhans) ← you
    5. JAX Adversarial Robustness (JAR) (google-research/jax-adversarial-robustness)
    6. RobustBench (RobustBench/robustbench)
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of cleverhans-lab/cleverhans?
    pass
    AI named cleverhans-lab/cleverhans explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts cleverhans-lab/cleverhans in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cleverhans-lab/cleverhans explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo cleverhans-lab/cleverhans solve, and who is the primary audience?
    pass
    AI named cleverhans-lab/cleverhans explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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cleverhans-lab/cleverhans — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite