13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm
Bakary Badjie, José Cecílio, António Casimiro
Adversarial attacks significantly threaten the robustness of deep neural networks (DNNs). Despite the multiple defensive methods employed, they are nevertheless vulnerable to poiso…
cs.CR2023
Software-based security approach for networked embedded devices
José Ferreira, Alan Oliveira, André Souto +1
As the Internet of Things (IoT) continues to expand, data security has become increasingly important for ensuring privacy and safety, especially given the sensitive and, sometimes,…
cs.AR2022★ 13 cited
VEDLIoT: Very Efficient Deep Learning in IoT
Martin Kaiser, Rene Griessl, Nils Kucza +33
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also deali…