44 citations · 89 across the 11 of their papers we have counts for
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cs.LG2023★ 1 cited
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis +3
Over the years, many frameworks and optimization techniques have been proposed to accelerate graph neural networks (GNNs). Compared to the optimizations explored in these systems,…
cs.CR2023★ 1 cited
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li +2
Side-channel attacks that use machine learning (ML) for signal analysis have become prominent threats to computer security, as ML models easily find patterns in signals. To address…