Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games

Documenti analoghi

• XGuardian: Towards Explainable and Generalized AI Anti-Cheat on FPS Games
  di: Zhang, Jiayi, et al.
  Pubblicazione: (2026)
• Synopticon: Consensus-Based Cheating Detection System for Competitive Games
  di: Kang, Jeuk, et al.
  Pubblicazione: (2025)
• Anti-Phishing Training (Still) Does Not Work: A Large-Scale Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale
  di: Rozema, Andrew T., et al.
  Pubblicazione: (2025)
• R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning
  di: Lin, Jiayi, et al.
  Pubblicazione: (2025)
• Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
  di: Oshim, Md Farhan Tasnim, et al.
  Pubblicazione: (2025)