#behavioral biometrics
5 related articles
·3 min
Simulating Human Mouse Trajectories with LSTM: A Technical Exploration of Anti-Automation Detection
An in-depth analysis of how the MouseCrack project uses LSTM neural networks to learn human mouse trajectories, exploring data collection methods, model generalization challenges, and applications in anti-bot detection.
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·3 min
Simulating Human Mouse Trajectories with LSTM: A Technical Exploration in Anti-Automation Detection
Analysis of how the MouseCrack project uses LSTM neural networks to learn human mouse trajectories, exploring data collection, model generalization challenges, and applications in anti-bot detection.
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·2 min
17 Million Mouse Trajectories: Unpacking the Machine Learning Value of Gaming Behavioral Data
A League of Legends player collected 17M mouse trajectories and 670K clicks. We analyze the ML value of this gaming behavioral telemetry data for imitation learning, anti-cheat, and player modeling.
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·3 min
AI Bots Invade Social Platforms: From Spam Replies to Quote Tweets — A New Threat Emerges
AI bot replies have forced social media users to restrict interactions. Worse, bots now use Quote Tweets to bypass defenses. Analysis of AI pollution evolution and platform governance challenges.
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Tech Frontiers·1 min
Wuhan Police Crack AI Face-Swap Account Theft Case: Deepfake Security Risks Behind 400K Yuan in Illegal Profits
Wuhan police cracked an AI face-swap account theft case where suspects used deepfake tech to bypass facial recognition and illegally profit 400K yuan. Analysis of methods, vulnerabilities, and defenses.
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