Tootfinder

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
Chinthana Wimalasuriya, Spyros Tragoudas
https://arxiv.org/abs/2510.02707

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
Adversarial attacks present a significant threat to modern machine learning systems. Yet, existing detection methods often lack the ability to detect unseen attacks or detect different attack types with a high level of accuracy. In this work, we propose a statistical approach that establishes a detection baseline before a neural network's deployment, enabling effective real-time adversarial detection. We generate a metric of adversarial presence by comparing the behavior of a compressed/uncompr…

Recent Advances in Microfluidics and Bioelectronics for Three-Dimensional Organoid Interfaces
Caroline Ferguson, Yan Li, Yi Zhang, Xueju Wang
https://arxiv.org/abs/2510.12584 ht…

Recent Advances in Microfluidics and Bioelectronics for Three-Dimensional Organoid Interfaces
Organoids offer a promising alternative in biomedical research and clinical medicine, with better feature recapitulation than 2D cultures. They also have more consistent responses with clinical results when compared to animal models. However, major challenges exist in the longevity of culture, the reproducibility of organoid properties, and the development of non-disruptive monitoring methods. Recent advances in materials and microfabrication methods, such as 3D printing and compressive bucklin…

Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction
Yi Ai, Yuanhao Cai, Yulun Zhang, Xiaokang Yang
https://arxiv.org/abs/2510.01912 https://

Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction
Hyperspectral imaging (HSI) provides rich spatial-spectral information but remains costly to acquire due to hardware limitations and the difficulty of reconstructing three-dimensional data from compressed measurements. Although compressive sensing systems such as CASSI improve efficiency, accurate reconstruction is still challenged by severe degradation and loss of fine spectral details. We propose the Flow-Matching-guided Unfolding network (FMU), which, to our knowledge, is the first to integr…

RnGCam: High-speed video from rolling & global shutter measurements
Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nick Antipa
https://arxiv.org/abs/2509.18087 htt…

RnGCam: High-speed video from rolling & global shutter measurements
Compressive video capture encodes a short high-speed video into a single measurement using a low-speed sensor, then computationally reconstructs the original video. Prior implementations rely on expensive hardware and are restricted to imaging sparse scenes with empty backgrounds. We propose RnGCam, a system that fuses measurements from low-speed consumer-grade rolling-shutter (RS) and global-shutter (GS) sensors into video at kHz frame rates. The RS sensor is combined with a pseudorandom optic…

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
Yuan Gao, Yiming Liu, Runze Yu, Shengli Liu, Yanliang Jin, Shunqing Zhang, Shugong Xu, Xiaoli Chu
https://arxiv.org/abs/2509.17797

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
Fluid antenna systems (FAS) signify a pivotal advancement in 6G communication by enhancing spectral efficiency and robustness. However, obtaining accurate channel state information (CSI) in FAS poses challenges due to its complex physical structure. Traditional methods, such as pilot-based interpolation and compressive sensing, are not only computationally intensive but also lack adaptability. Current extrapolation techniques relying on rigid parametric models do not accommodate the dynamic env…

A GND-based back stress model for reverse loading in metal sheets with consideration of GNB
Gyu-Jang Sim, Jehyun You, SeongHwan Choi, Youngjae Kim, Chung An Lee, Hyunki Kim, Donghwan Noh, Myoung-Gyu Lee
https://arxiv.org/abs/2509.20996

A GND-based back stress model for reverse loading in metal sheets with consideration of GNB
Accurate prediction of springback and formability in sheet metal forming requires understanding reverse loading behavior under complex loading path changes, such as tension followed by compression. However, for ultra-thin sheets experimental characterization of such behavior is difficult due to compressive instability like plastic buckling. This study presents a crystal plasticity finite element method (CPFEM) incorporating a physically motivated back stress model based on geometrically necessa…

A nonlinear homogenization-based perspective on the soft modes and effective energies of some conformal metamaterials
Xuenan Li, Robert V. Kohn
https://arxiv.org/abs/2509.16907 …

A nonlinear homogenization-based perspective on the soft modes and effective energies of some conformal metamaterials
There is a growing mechanics literature concerning the macroscopic properties of mechanism-based mechanical metamaterials. This amounts mathematically to a homogenization problem involving nonlinear elasticity. A key goal is to identify the "soft modes" of the metamaterial. We achieve this goal using methods from homogenization for some specific 2D examples -- including discrete models of the Rotating Squares metamaterial and the Kagome metamaterial -- whose soft modes are compressive conformal…

On Krasnosel'skii-Precup fixed point theorem and eigenvalue criteria for existence of positive solutions
Laura M. Fern\'andez-Pardo, Jorge Rodr\'iguez-L\'opez
https://arxiv.org/abs/2509.20018

On Krasnosel'skii-Precup fixed point theorem and eigenvalue criteria for existence of positive solutions
We provide an alternative approach to Krasnosel'skii-Precup fixed point theorem for operator systems based on the Leray-Schauder fixed point index in cones. Our focus is on the case of operators whose components are entirely of compressive type. The abstract technique is applied to a system of second--order differential equations providing a coexistence positive solution by means of an eigenvalue type criterion.