research note
MOPP is presented as an open-source, modular web platform for running online psychophysics experiments without requiring researchers to stitch together separate tools for task creation, hosting, au…
research note
This is a survey paper, not an empirical system paper
research note
EarthOL proposes a domain-restricted alternative to proof-of-work: instead of burning energy on arbitrary computation, the protocol tries to reward verifiable human contributions in bounded domains…
research note
This paper addresses the challenge of detecting bias in machine learning datasets without relying on sensitive demographic labels or rigid fairness metrics, which can be inaccessible or ethically p…
research note
This paper addresses the challenge of designing car-following models for automated vehicles that are both provably safe and exhibit human-like driving behaviors, especially under braking scenarios
research note
The reported outcome is a public framework plus a dataset of 14,889 synthetic identities, with evidence that the resulting identities align better with real embedding-space structure than prior syn…
research note
This paper asks whether free-text keystroke biometrics can be studied without collecting real user data by simulating typing behavior with an agent-based model (ABM)
research note
This paper conducts a comprehensive ethical audit comparing synthetic personas generated by three large language models (GPT4o, Gemini 1.5 Pro, Deepseek 2.5) to human-authored self-descriptions, wi…
research note
This paper addresses key challenges in mouse dynamics-based user authentication, namely determining the sufficient data volume, balancing accuracy and practicality with segment length, and enhancin…
research note
This paper tackles a practical security gap in Li-Fi / visible light communication: how to authenticate transmitters without adding heavyweight cryptography or breaking IEEE 802.15.7 compatibility
research note
This paper addresses the urgent need to verify human authorship of digital content in an internet increasingly dominated by AI-generated synthetic media
research note
FeatInsight addresses the crucial challenge of managing online ML features across their entire lifecycle in large-scale, dynamic real-world environments
