no code implementations • 30 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.
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.