AimTrap is an end-to-end system using Adversarial Camouflage Textures (ACT) and Adversarial Honeypot Textures (AHT) synthesized via differentiable rendering to defend against and detect visual aimbots, with reported success rates of 85.1% and 96.9% and negligible overhead.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FlowPaint reframes censorship evasion as semantic image-to-image editing with instruction-tuned diffusion models, claiming single-prompt robustness against both rule-based and ML-based censors.
citing papers explorer
-
Shoot the Honey, Cloak the Player: Towards Zero-Runtime-Overhead Proactive Defense and Detection for Visual Game Cheating
AimTrap is an end-to-end system using Adversarial Camouflage Textures (ACT) and Adversarial Honeypot Textures (AHT) synthesized via differentiable rendering to defend against and detect visual aimbots, with reported success rates of 85.1% and 96.9% and negligible overhead.
-
One-Prompt Censorship Evasion via Generative Diffusion Models
FlowPaint reframes censorship evasion as semantic image-to-image editing with instruction-tuned diffusion models, claiming single-prompt robustness against both rule-based and ML-based censors.