data privacy

Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021 How effective is BERT without word ordering? Implications for language understanding and data privacy ACL 2021 Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021 Neural Tangent Generalization Attacks ICML 2021 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization ICLR 2021 TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021 Zeph: Cryptographic Enforcement of End-to-End Data Privacy OSDI 2021 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020 TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control NSDI 2020 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 Deep Leakage from Gradients NeurIPS 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Making AI Forget You: Data Deletion in Machine Learning NeurIPS 2019 The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding Interspeech 2019 Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints ICML 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018 Tamper-Proof Privacy Auditing for Artificial Intelligence Systems IJCAI 2018 CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy ICML 2016 Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data OSDI 2016 Adaptive Anonymity via b-Matching NeurIPS 2013 A Simple and Practical Algorithm for Differentially Private Data Release NeurIPS 2012