Search Results for author: Jean-Baptiste Truong

Found 2 papers, 1 papers with code

Memory-Efficient Deep Learning Inference in Trusted Execution Environments

no code implementations30 Apr 2021 Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls

This study identifies and proposes techniques to alleviate two key bottlenecks to executing deep neural networks in trusted execution environments (TEEs): page thrashing during the execution of convolutional layers and the decryption of large weight matrices in fully-connected layers.

Quantization

Data-Free Model Extraction

2 code implementations CVPR 2021 Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot

Current model extraction attacks assume that the adversary has access to a surrogate dataset with characteristics similar to the proprietary data used to train the victim model.

Model extraction Transfer Learning

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