Abstract: Deep neural networks (DNNs) struggle to learn in dy-namic settings because they mainly rely on static datasets. Continual learning (CL) aims to overcome this limitation by enabling DNNs to ...

Abstract: JavaScript is rapidly being deployed as binaries in security-critical embedded domains, including IoT devices, edge computing, and smart automotive applications. Ensuring the security of ...

The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...