RRepoGEO

REPOGEO REPORT · LITE

THUYimingLi/backdoor-learning-resources

Default branch master · commit 03f6323a · scanned 5/14/2026, 10:37:50 PM

GitHub: 1,166 stars · 173 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 THUYimingLi/backdoor-learning-resources, 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
  • highreadme#1
    Strengthen README's opening to emphasize its value as a curated resource list

    Why:

    CURRENT
    # Backdoor Learning Resources
    This Github repository summarizes a list of **Backdoor Learning** resources.
    COPY-PASTE FIX
    # Backdoor Learning Resources
    This repository is a **curated and continuously updated collection** of essential resources for **Backdoor Learning**, including papers, code, and datasets. It serves as a comprehensive starting point for researchers and practitioners, saving time compared to searching disparate sources.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    [URL of the survey paper mentioned in the README, e.g., https://arxiv.org/abs/XXXX.XXXXX]
  • lowtopics#3
    Add synonyms for 'backdoor' to the repository topics

    Why:

    CURRENT
    ai-security, backdoor-attacks, backdoor-defense, backdoor-learning, deep-learning, machine-learning
    COPY-PASTE FIX
    ai-security, backdoor-attacks, backdoor-defense, backdoor-learning, deep-learning, machine-learning, neural-trojan, trojan-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
0 / 2
0% of queries surface THUYimingLi/backdoor-learning-resources
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neural Cleanse
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neural Cleanse · recommended 1×
  2. STRIP · recommended 1×
  3. Fine-Pruning · recommended 1×
  4. Activation Clustering · recommended 1×
  5. arXiv.org · recommended 1×
  • CATEGORY QUERY
    How can I find comprehensive resources on mitigating backdoor attacks in deep learning models?
    you: not recommended
    AI recommended (in order):
    1. Neural Cleanse
    2. STRIP
    3. Fine-Pruning
    4. Activation Clustering

    AI recommended 4 alternatives but never named THUYimingLi/backdoor-learning-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find academic papers and surveys on neural trojan detection and defense mechanisms?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. ACM Digital Library
    4. IEEE Xplore Digital Library
    5. Semantic Scholar
    6. OpenReview.net
    7. ResearchGate

    AI recommended 7 alternatives but never named THUYimingLi/backdoor-learning-resources. This is the gap to close.

    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 THUYimingLi/backdoor-learning-resources?
    pass
    AI did not name THUYimingLi/backdoor-learning-resources — likely talking about a different project

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

  • If a team adopts THUYimingLi/backdoor-learning-resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named THUYimingLi/backdoor-learning-resources 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 THUYimingLi/backdoor-learning-resources solve, and who is the primary audience?
    pass
    AI did not name THUYimingLi/backdoor-learning-resources — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of THUYimingLi/backdoor-learning-resources. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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THUYimingLi/backdoor-learning-resources — 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