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Deep Learning with Differential Privacy
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Deep Residual Learning for Image Recognition
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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iDLG: Improved Deep Leakage from Gradients
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Adam: A Method for Stochastic Optimization
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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InstaHide: Instance-hiding Schemes for Private Distributed Learning
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2020
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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
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Learning Differentially Private Recurrent Language Models
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2017
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H. Brendan McMahan
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Privacy-Preserving Secret Shared Computations using MapReduce
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2019
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The random oracle methodology, revisited
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Exact Weight Subgraphs and the k-Sum Conjecture
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Losing Weight by Gaining Edges
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
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2019
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Yinhan Liu
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TextHide: Tackling Data Privacy in Language Understanding Tasks
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2020
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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?
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2020
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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
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The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
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2020
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Yuheng Zhang
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Neural Network Acceptability Judgments
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Inverting Deep Generative models, One layer at a time
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Obfuscation for Privacy-preserving Syntactic Parsing
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
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Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
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SpanBERT: Improving Pre-training by Representing and Predicting Spans
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2020
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Information Leakage in Embedding Models
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An ensemble-based system for automatic screening of diabetic retinopathy
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Towards Robust and Privacy-preserving Text Representations
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Solving linear programs in the current matrix multiplication time
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Inverting Visual Representations with Convolutional Networks
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Privacy-preserving Neural Representations of Text
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Adversarial Removal of Demographic Attributes from Text Data
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Federated Learning for Mobile Keyboard Prediction
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MIDA: Multiple Imputation Using Denoising Autoencoders
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Image Inpainting for Irregular Holes Using Partial Convolutions
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Fitsum A. Reda
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Split learning for health: Distributed deep learning without sharing raw patient data
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Stable signal recovery from incomplete and inaccurate measurements
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Multiple imputation by chained equations: what is it and how does it work?
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Context Encoders: Feature Learning by Inpainting
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Membership Inference Attacks Against Machine Learning Models
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Federated Learning: Strategies for Improving Communication Efficiency
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Differential Privacy: A Survey of Results
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Stronger L <sub>2</sub> /L <sub>2</sub> compressed sensing; without iterating
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