Machine Learning (ML) algorithms are vulnerable to poisoning attacks, wh...
Autonomous Vehicles (AVs) are mostly reliant on LiDAR sensors which enab...
Deep neural networks have become an integral part of our software
infras...
Machine learning algorithms are vulnerable to poisoning attacks, where a...
Universal Adversarial Perturbations (UAPs) are a prominent class of
adve...
Universal Adversarial Perturbations (UAPs) are input perturbations that ...
LiDARs play a critical role in Autonomous Vehicles' (AVs) perception and...
Neural network compression methods like pruning and quantization are ver...
LiDAR-driven 3D sensing allows new generations of vehicles to achieve
ad...
Machine Learning (ML) algorithms are vulnerable to poisoning attacks, wh...
Convolutional Neural Networks (CNNs) used on image classification tasks ...
Federated learning enables training collaborative machine learning model...
Machine learning algorithms are vulnerable to poisoning attacks: An adve...
Deep Convolutional Networks (DCNs) have been shown to be sensitive to
Un...
We expect an increase in frequency and severity of cyber-attacks that co...
The losses arising from a system being hit by cyber attacks can be
stagg...
Deep neural networks have been shown to be vulnerable to adversarial
exa...
Machine learning has become one of the main components for task automati...
Many machine learning systems rely on data collected in the wild from
un...
Machine learning has become an important component for many systems and
...
The increase of connectivity and the impact it has in every day life is
...
Attack graphs provide compact representations of the attack paths that a...