8 citations · 16 across the 4 of their papers we have counts for
4 papers
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN
Desheng Wang, Weidong Jin, Yunpu Wu +1
Convolutional neural networks (CNNs) have achieved beyond human-level accuracy in the image classification task and are widely deployed in real-world environments. However, CNNs sh…
Speech Recognition: Increasing Efficiency of Support Vector Machines
Aamir Khan, Muhammad Farhan, Asar Ali
With the advancement of communication and security technologies, it has become crucial to have robustness of embedded biometric systems. This paper presents the realization of such…
C-slow Technique vs Multiprocessor in designing Low Area Customized Instruction set Processor for Embedded Applications
Muhammad Adeel Akram, Aamir Khan, Muhammad Masood Sarfaraz
The demand for high performance embedded processors, for consumer electronics, is rapidly increasing for the past few years. Many of these embedded processors depend upon custom bu…
A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance
Aamir Khan, Muhammad Farhan, Aasim Khurshid +1
Essentially a biometric system is a pattern recognition system which recognizes a user by determining the authenticity of a specific anatomical or behavioral characteristic possess…