Recent studies show deep neural networks (DNNs) are extremely vulnerable...
Recent studies have found that removing the norm-bounded projection and
...
Recent studies have revealed that neural combinatorial optimization (NCO...
Recent work shows that deep neural networks are vulnerable to adversaria...
Overconfident predictions on out-of-distribution (OOD) samples is a thor...
Adversarial training is wildly considered as the most effective way to d...
The vulnerability of deep neural networks (DNNs) for adversarial example...
With the boom of edge intelligence, its vulnerability to adversarial att...
Although deep neural networks (DNNs) have achieved success in many
appli...
High-level (e.g., semantic) features encoded in the latter layers of
con...
Accurate and robust localization is crucial for wireless ad-hoc and sens...