One of the main security requirements for symmetric-key block ciphers is resistance against differential cryptanalysis. This is commonly assessed by counting the number of active substitution boxes (S ...

Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest. A Random Forest is constructed from many layers, ...

Figuring out the ways in which algorithms and deep learning models are different is a good start if the goal is to reconcile them. Deep learning can’t generalize For starters, Blundell said ...

At ICML's conference, the IBM Research scientist introduced "Black-Box Adversarial Reprogramming," draws attention to an alternative repurposing technique for turning the weakness of deep neural ...

Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars, predictive ...

In 2006–2011, “deep learning” was popular, but “deep learning” mostly meant stacking unsupervised learning algorithms on top of each other in order to define complicated features for ...

The cleanest data can lead to poor decisions if the algorithms aren’t understood. Adoption of those algorithms will be slowed, by consumers or government agencies, if they can’t be shown to be ...