DeepSpaceHarbor/Awesome-AI-Security

• hightopics#1

  Add relevant topics to the repository

  原因：

  当前

  (none)

  复制粘贴的修复

  复制

  ["awesome-list", "ai-security", "machine-learning-security", "adversarial-ml", "cybersecurity", "ml-security", "security-resources"]

  待办完成忽略
• highabout#2

  Update the repository description

  原因：

  当前

  :file_folder: #AISecurity

  复制粘贴的修复

  复制

  A curated list of resources, papers, and tools for AI security, adversarial machine learning, and ML model protection.

  待办完成忽略
• highlicense#3

  Add a LICENSE file to the repository

  原因：

  当前

  (no LICENSE file detected — the repo has no recognizable license)

  复制粘贴的修复

  复制

  Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root, or add a clear license statement to the README if a custom license applies.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I protect my machine learning models from adversarial attacks?

  你：未被推荐
  AI 推荐顺序：

  1. IBM Adversarial Robustness Toolbox (ART)
  2. CleverHans
  3. Foolbox
  4. Microsoft Counterfit
  5. Adversarial-ML-Toolkit (AMT)
  6. PyTorch-Adversarial-Training
  7. TensorFlow Privacy

  AI 推荐了 7 个替代方案，却始终没点名 DeepSpaceHarbor/Awesome-AI-Security。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find resources and code examples for AI model security vulnerabilities?

  你：未被推荐
  AI 推荐顺序：

  1. Adversarial Robustness Toolbox (ART)
  2. CleverHans
  3. Microsoft Counterfit
  4. OWASP Top 10 for Large Language Models (LLMs)
  5. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
  6. Hugging Face's `evaluate` library
  7. TensorFlow Privacy

  AI 推荐了 7 个替代方案，却始终没点名 DeepSpaceHarbor/Awesome-AI-Security。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of DeepSpaceHarbor/Awesome-AI-Security?

  pass
  ⚠AI 未点名 DeepSpaceHarbor/Awesome-AI-Security —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts DeepSpaceHarbor/Awesome-AI-Security in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 DeepSpaceHarbor/Awesome-AI-Security

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo DeepSpaceHarbor/Awesome-AI-Security solve, and who is the primary audience?

  pass
  ⚠AI 未点名 DeepSpaceHarbor/Awesome-AI-Security —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？