Randomly composing multiple trained parameter versions per layer reduces side-channel leakage on an unmodified Edge TPU, though detectable leakage remains.
I know what you see: Power side-channel attack on convolutional neural network accelerators,
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No TPU Left Behind: Retrofitting Side-Channel Protection into Edge TPUs
Randomly composing multiple trained parameter versions per layer reduces side-channel leakage on an unmodified Edge TPU, though detectable leakage remains.