The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

The success of machine learning is fueled by the increasing availability of computing power
and large training datasets. The training data is used to learn new models or update existing …

Deep neural networks and machine-learning algorithms are pervasively used in several
applications, ranging from computer vision to computer security. In most of these …

Trojaning attack on neural networks Page 1 Please do not remove this page Trojaning
attack on neural networks Liu, Yingqi; Ma, Shiqing; Aafer, Yousra; et.al. https://scholarship.libraries.rutgers.edu/esploro/outputs/conferencePaper/Trojaning-attack-on-neural-networks/991031794682704646/filesAndLinks …

While neural networks have achieved high accuracy on standard image classification
benchmarks, their accuracy drops to nearly zero in the presence of small adversarial …

Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …

Abstract Machine learning systems trained on user-provided data are susceptible to data
poisoning attacks, whereby malicious users inject false training data with the aim of …

Deep learning takes advantage of large datasets and computationally efficient training
algorithms to outperform other approaches at various machine learning tasks. However …

Deep learning algorithms have been shown to perform extremely well on many classical
machine learning problems. However, recent studies have shown that deep learning, like …

Advances in machine learning (ML) in recent years have enabled a dizzying array of
applications such as data analytics, autonomous systems, and security diagnostics. ML is …