Amvik eBook Solutions

Since 2013, Deep Neural Networks (DNNs) have caught up to a human-level performance at various benchmarks. Meanwhile, it is essential to ensure its safety and r

Efficient operation and control of modern day urban systems such as transportation networks is now more important than ever due to huge societal benefits. Low c

Neural networks provide state-of-the-art results for most machine learning tasks. Unfortunately, neural networks are vulnerable to adversarial examples. That is

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick

This book constitutes the refereed proceedings of the 13th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Stora