LEVERAGING NEURAL TROJAN SIDE-CHANNELS FOR OUTPUT EXFILTRATION

Leveraging Neural Trojan Side-Channels for Output Exfiltration

Neural networks have become pivotal in advancing applications across various domains, including healthcare, finance, surveillance, and autonomous systems.To achieve low latency and high efficiency, field-programmable gate arrays (FPGAs) are increasingly being employed as accelerators for neural network inference in cloud and edge devices.However, t

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The extreme high cooling capacity thermoelectric cooler optimal design for kilowatts scale thermoelectric air-conditioner of high-speed railway carriage

In recent 20 years, the rapidly development of thermoelectric materials promotes thermoelectric s application in large scale cooling area, i.e.air-conditioner.To provide quiet working environment for the driver of high-speed railway, a kilowatt scale air-conditioner was designed.Firstly, a novel thermoelectric cooler with maximum cooling capacity o

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Activation of ADAM17 by IL-15 Limits Human NK Cell Proliferation

Natural killer (NK) cells are innate cytotoxic lymphocytes that can recognize assorted determinants on tumor cells and rapidly kill these cells.Due to their anti-tumor effector functions and potential for allogeneic use, various NK cell platforms are being examined for adoptive cell therapies.However, their limited in vivo persistence is a current

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Adaptive Sliding Mode Control of a 6-DOF RLED Robot Manipulator with Uncertain Parameters and External Disturbances

This paper addresses the end-effector position and orientation tracking problem of a 6-degrees of freedom (DOF) rigid link electrically driven (RLED) revolute joint serial robot manipulator with uncertain parameters and external disturbances.System uncertainties and external disturbances are bounded but their upper limits are unknown.The input matr

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