Privacy

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching ICLR 2021 You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership NeurIPS 2021 Zeph: Cryptographic Enforcement of End-to-End Data Privacy OSDI 2021 A Computational Separation between Private Learning and Online Learning NeurIPS 2020 ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020 A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric EMNLP 2020 Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020 Adversarially Robust Streaming Algorithms via Differential Privacy NeurIPS 2020 Adversarial Robustness for Code ICML 2020 A Framework to Assist Chat Operators of Mental Healthcare Services EMNLP 2020 A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020 Alleviating Privacy Attacks via Causal Learning ICML 2020 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Auditing Differentially Private Machine Learning: How Private is Private SGD? NeurIPS 2020 AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NeurIPS 2020 Bayesian Differential Privacy for Machine Learning ICML 2020 Breaking the Communication-Privacy-Accuracy Trilemma NeurIPS 2020 Camera Trace Erasing CVPR 2020 Certified Data Removal from Machine Learning Models ICML 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks CVPR 2020 Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain ACL 2020