Abstract: A processor may generate an enforcement point. The enforcement point may include one or more adversarial detection models. The processor may receive user input data. The processor may analyze, at the enforcement point, the user input data. The processor may determine, from the analyzing, whether there is an adversarial attack in the user input data. The processor may generate an alert based on the determining.

Abstract: The present invention relates to an antibacterial peptide and an antibacterial compound targeting the Klebsiella pneumoniae VapBC toxin-antitoxin system, or their use.

Abstract: A memory device includes a substrate, a transistor disposed over the substrate, an interconnect structure disposed over and electrically connected to the transistor, and a memory stack disposed between two adjacent metallization layers of the interconnect structure. The memory stack includes a bottom electrode disposed over the substrate and electrically connected to a bit line, a memory layer disposed over the bottom electrode, a selector layer disposed over the memory layer, and a top electrode disposed over the selector layer and electrically connected to a word line. Besides, at least one moisture-resistant layer is provided adjacent to and in physical contact with the selector layer, and the at least one moisture-resistant layer includes an amorphous material.

Abstract: A method includes forming a fin structure over a substrate, wherein the fin structure comprises first semiconductor layers and second semiconductor layers alternately stacked over a substrate; forming a dummy gate structure over the fin structure; removing a portion of the fin structure uncovered by the dummy gate structure; performing a selective etching process to laterally recess the first semiconductor layers, including injecting a hydrogen-containing gas from a first gas source of a processing tool to the first semiconductor layers and the second semiconductor layers; and injecting an F2 gas from a second gas source of the processing tool to the first semiconductor layers and the second semiconductor layers; forming inner spacers on opposite end surfaces of the laterally recessed first semiconductor layers of the fin structure; and replacing the dummy gate structure and the first semiconductor layers with a metal gate structure.

Abstract: The invention provides a composite material, which includes a titanium alloy substrate and a metallic glass layer. The metallic glass layer is disposed on the titanium alloy substrate. The thickness of the metallic glass layer is 50 nm-200 nm, in which in comparison with the titanium alloy substrate, the fatigue life of the composite material of the invention is increased by 5-17 times.

Abstract: A method and system of video object segmentation are disclosed herein. A pixel data of an image is received, wherein the pixel data has a corresponding location. A difference value between a pixel value of the pixel data and a pixel value in the corresponding location of a previous image is obtained. Utilizing the difference value and the pixel data, a multi-layered background registration is performed to get a background. Using the background, a background region of the image is removed. Furthermore, a process of removing an average value of luminance from the image and from the background is carried out to prevent object segmentation failure caused by the non-uniform luminance problem, which is produced by variation and flickering of illumination.

Abstract: A method and system of video object segmentation are disclosed herein. A pixel data of an image is received, wherein the pixel data has a corresponding location. A difference value between a pixel value of the pixel data and a pixel value in the corresponding location of a previous image is obtained. Utilizing the difference value and the pixel data, a multi-layered background registration is performed to get a background. Using the background, a background region of the image is removed. Furthermore, a process of removing an average value of luminance from the image and from the background is carried out to prevent object segmentation failure caused by the non-uniform luminance problem, which is produced by variation and flickering of illumination.