13 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.AR2023★ 10 cited
VEDLIoT -- Next generation accelerated AIoT systems and applications
Kevin Mika, René Griessl, Nils Kucza +29
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propo…
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.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…