Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.
Qiang Tang receives funding from Google via Digital Future Initiative to support the research on this project. Moti Yung works for Google as a distinguished research scientist. Yanan Li is supported ...
In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...
Much like recipes in a cookbook, the instructions to execute programs are stored in specific locations within a computer's physical memory. The standard security method—referred to as "address space ...
Scientists have developed an innovative cooking technique that perfects the balance between a firm egg white and a soft, rich yolk. Boiling eggs just got a scientific upgrade. By alternating an egg ...
Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...
PDMATLAB2D is a meshfree peridynamics implementation in MATLAB suitable for simulation of two-dimensional fracture problems. The purpose of this code is twofold. First, it provides an entry-level ...
A consistent body of literature reported that Parkinson’s disease (PD) is marked by severe deficits in temporal processing. However, the exact nature of timing problems in PD patients is still elusive ...
Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and ...
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