Gain-of-function experiments are ingrained in the scientific process. In many instances, the benefits that stem from gain-of-function experiments are not immediately clear. Only decades later does the ...

Physical Unclonable Functions (PUFs) have gained a great interest for their capability to identify devices uniquely and to be a lightweight primitive in cryptographic protocols. However, several ...

Studies have shown that deep neural networks (DNNs) are susceptible to adversarial attacks, which can cause misclassification. The adversarial attack problem can be regarded as an optimization problem ...