Machine learning (ML) models are overparameterized to support generality...
In this paper, we present a novel approach for generating naturalistic
a...
Real-world adversarial physical patches were shown to be successful in
c...
Machine Learning (ML) architectures have been applied to several applica...
A majority of existing physical attacks in the real world result in
cons...
In recent years, monocular depth estimation (MDE) has witnessed a substa...
Machine-learning architectures, such as Convolutional Neural Networks (C...
Due to their robustness to degraded capturing conditions, radars are wid...
The real-world use cases of Machine Learning (ML) have exploded over the...
Advances in deep learning have enabled a wide range of promising
applica...
While machine learning applications are getting mainstream owing to a
de...
In the recent years, Portable Document Format, commonly known as PDF, ha...
Machine learning-based hardware malware detectors (HMDs) offer a potenti...
As the dimensions and operating voltages of computer electronics shrink ...
Deep Learning (DL) algorithms have gained popularity owing to their prac...
In the past few years, an increasing number of machine-learning and deep...
Due to their proven efficiency, machine-learning systems are deployed in...