🤖 AI & Machine Learning

ML's Scam Arms Race: Scammers Still Ahead

Scammers crank out phishing at warp speed. ML detectors? They're playing catch-up — barely.

Neural networks clashing with shadowy fraud graphs in digital arms race

⚡ Key Takeaways

  • ML scam detection uses hybrid ensembles: URL trees, BERT content, GNN graphs. 𝕏
  • Scammers evade with LLMs; detectors lag in the arms race. 𝕏
  • Future hinges on better questions, not bigger models — regulation needed too. 𝕏
Published by

theAIcatchup

Community-driven. Code-first.

Worth sharing?

Get the best Open Source stories of the week in your inbox — no noise, no spam.

Originally reported by Dev.to

Stay in the loop

The week's most important stories from theAIcatchup, delivered once a week.