Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers

Deep Neural Networks DNNs are notoriously vulnerable to adversarial input designs with limited noise budgets. While numerous successful attacks with subtle modifications to original input have been proposed, defense techniques against these attacks are relatively understudied. Existing defense...

On the Impossibility of a Perfect Hypervisor

We establish a fundamental impossibility result for a perfect hypervisor', one that 1 preserves every observable behavior of any program exactly as on bare metal and 2 adds zero timing or resource overhead. Within this model we prove two theorems. 1 Indetectability Theorem. If such a hypervisor...