8 papers
Detecting GPT-Assisted Writing Using Interpretable Stylometric Features
Rajesh Kumar, Nabeel Siddiqui, Alexander Fuchsberger
Distinguishing GPT-assisted from independently authored student writing has become a critical challenge in academia. This paper evaluates the discriminative capability of interpret…
Investigating Gender Bias in Touch Biometrics
Joshua Lee, Ben Khant, Rajesh Kumar
Behavioral biometrics offer a promising approach for continuous authentication, but their fairness across demographic groups remains largely unexplored. This paper investigates gen…
How Well Do LLMs Imitate Human Writing Style?
Rebira Jemama, Rajesh Kumar
Large language models (LLMs) can generate fluent text, but their ability to replicate the distinctive style of a specific human author remains unclear. We present a fast, training-…
Active Authentication via Korean Keystrokes Under Varying LLM Assistance and Cognitive Contexts
Dong Hyun Roh, Rajesh Kumar
Keystroke dynamics is a promising modality for active user authentication, but its effectiveness under varying LLM-assisted typing and cognitive conditions remains understudied. Us…
LLM-Assisted Cheating Detection in Korean Language via Keystrokes
Dong Hyun Roh, Rajesh Kumar, An Ngo
This paper presents a keystroke-based framework for detecting LLM-assisted cheating in Korean, addressing key gaps in prior research regarding language coverage, cognitive context,…
Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification
An Ngo, Rajesh Kumar, Phuong Cao
This study investigates the vulnerabilities of data-driven offline signature verification (DASV) systems to generative attacks and proposes robust countermeasures. Specifically, we…
Spotting Fake Profiles in Social Networks via Keystroke Dynamics
Alvin Kuruvilla, Rojanaye Daley, Rajesh Kumar
Spotting and removing fake profiles could curb the menace of fake news in society. This paper, thus, investigates fake profile detection in social networks via users' typing patter…
Dictionary Attack on IMU-based Gait Authentication
Rajesh Kumar, Can Isik, Chilukuri K. Mohan
We present a novel adversarial model for authentication systems that use gait patterns recorded by the inertial measurement unit (IMU) built into smartphones. The attack idea is in…