Skip to main content
Context Awesome

awesome-ml-sp-papers

github.com/gnipping/awesome-ml-sp-papers ↗

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

353
GitHub Stars
451
Curated Resources
2
Categories
5 hours ago
Last Refreshed
1. Security Papers2. Privacy Papers

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me 1.1 adversarial attack & defense resources from awesome-ml-sp-papers"

Installation instructions →

What's inside

1. Security Papers

  • pdf1.1 Adversarial Attack & Defense

  • pdf1.1 Adversarial Attack & Defense

  • pdf1.3 Data Poisoning

  • pdf1.6 AI4Security

  • pdf1.10 Face Security

  • pdf1.11 LLM Security

2. Privacy Papers

  • pdf2.1 Training Data

  • pdf2.1 Training Data

  • pdf2.1 Training Data

  • pdf2.1 Training Data

  • pdf2.1 Training Data

  • pdf2.1 Training Data

Showing a sample of 451 resources. View the full list on GitHub →