92 citations · 211 across the 21 of their papers we have counts for
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cs.CR2020★ 3 cited
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
Embedded systems demand on-device processing of data using Neural Networks (NNs) while conforming to the memory, power and computation constraints, leading to an efficiency and acc…
cs.CR2020★ 92 cited
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
Graph embeddings have been proposed to map graph data to low dimensional space for downstream processing (e.g., node classification or link prediction). With the increasing collect…