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Found 8 papers, 2 papers with code
Hebrew Psychological Lexicons
We introduce a large set of Hebrew lexicons pertaining to psychological aspects.
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
This innovation enables us to perform secure inference on LMs with WikiText-103.
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Training large-scale CNNs that during inference can be run under Homomorphic Encryption (HE) is challenging due to the need to use only polynomial operations.
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion
In this work, we propose a novel set of pruning methods that reduce the latency and memory requirement, thus bringing the effectiveness of plaintext pruning methods to HE.
A methodology for training homomorphicencryption friendly neural networks
Experiments using our approach reduced the gap between the F1 score and accuracy of the models trained with ReLU and the HE-friendly model to within a mere 0. 32-5. 3 percent degradation.
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
We present a simple and intuitive framework that abstracts the packing decision for the user.
A Little Is Enough: Circumventing Defenses For Distributed Learning
We show that 20% of corrupt workers are sufficient to degrade a CIFAR10 model accuracy by 50%, as well as to introduce backdoors into MNIST and CIFAR10 models without hurting their accuracy
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
Deep learning models have been successfully applied to malware detection.
