Hello, Codeforces.

I've participated a few rounds and noticed that there are **too many cheaters. Now the cheater detection is community-driven and only a few of cheaters are being detected.

Idea

I’m proposing Codeforces Anti‑Cheat (CFAC) – an automated flagging system that works after each contest and automatically detects cheaters using: — NLP-model based submission (and maybe replacement) checking — Timings-based detection: if gray solves div.2 e in 3 mins, its suspicious all of these metrics are combined into suspicion score matrix where score[u][p] is value normalized [-1, 1] where — -1 — if participant $$$u$$$ 100% not cheating at problem $$$p$$$; — 1 — if participant $$$u$$$ 100% cheating at problem $$$p$$$;

Need help

DELETED02 I need help in — collecting labelled data for cheaters and not cheaters — final testing of anti-cheat system

Updates

• Created cfac repo on github
• Updated post text without AI addressing hate comments about AI-slop and pilliamw blog post