The most scalable approaches to certifying neural network robustness dep...
As neural networks make their way into safety-critical systems, where
mi...
Recurrent neural networks (RNNs) such as Long Short Term Memory (LSTM)
n...
As deep neural networks are increasingly being deployed in practice, the...
Compression is an emerging source of exploitable side-channel leakage th...
A unified modeling framework for non-functional properties of a program ...