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This work addresses the potential contamination of thermal free-free radio continuum emission, a key tracer of star formation rate (SFR) in galaxies, by anomalous microwave emission (AME) in the fr…
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This paper addresses a key challenge in Vision-Language-Action (VLA) robot manipulation models — while Vision-Language Models (VLMs) encode strong visual and linguistic priors, their attached action…
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This paper presents a comprehensive longitudinal measurement and analysis of the Google Privacy Sandbox web APIs, introduced in 2019 and deprecated in late 2025
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This paper addresses the challenge of detecting AI-generated synthetic images, particularly under the constraints of low-resource environments such as smartphones
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This paper addresses the challenge of maintaining reliable locomotion for legged robots operating under actuator failures and challenging terrains, such as planetary exploration platforms
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This paper addresses the escalating hardware security challenges in semiconductor manufacturing and advanced packaging by proposing Nanoelectromechanical Systems (NEMS) as novel hardware security p…
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This paper addresses the persistent issue of ammonia poisoning in proton exchange membrane fuel cells (PEMFCs) fueled by hydrogen produced via ammonia decomposition
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This paper addresses a key limitation in Video Virtual Try-on (VVT) systems — their inherent dependency on fixed source camera trajectories, which restricts user interaction and viewpoint exploration
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This paper presents WGPULENS, a measurement framework to systematically evaluate privacy-related information leakage surfaces exposed by WebGPU in browsers
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This paper addresses the challenge of characterizing underwater radiated noise (URN) from submerged electric vehicles (SEVs) such as autonomous underwater vehicles (AUVs) in complex coastal environ…
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This paper addresses the communication bottleneck inherent in Federated Split Learning (FSL) systems for Internet of Things (IoT) rainfall prediction, where repeated transmission of intermediate ac…
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This paper addresses the critical challenge in Human Activity Recognition (HAR) of domain generalization under diverse distribution shifts inherent in real-world sensor data
