Privacy

Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020 Utility/Privacy Trade-off through the lens of Optimal Transport AISTATS 2020 Variational Bayesian Unlearning NeurIPS 2020 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract) AAAI 2020 XRD: Scalable Messaging System with Cryptographic Privacy NSDI 2020 X-Vector Singular Value Modification and Statistical-Based Decomposition with Ensemble Regression Modeling for Speaker Anonymization System Interspeech 2020 Adversarial Domain Adaptation for Stable Brain-Machine Interfaces ICLR 2019 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NeurIPS 2019 A Necessary and Sufficient Stability Notion for Adaptive Generalization NeurIPS 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models Interspeech 2019 An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule ICML 2019 A Privacy Preserving Collusion Secure DCOP Algorithm IJCAI 2019 APRP: An Anonymous Propagation Method in Bitcoin Network AAAI 2019 A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted Living Interspeech 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NeurIPS 2019 BAS Web Services for Automatic Subtitle Creation and Anonymization Interspeech 2019 BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019 Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA ICML 2019 Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019 Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text EMNLP 2019 Capacity Bounded Differential Privacy NeurIPS 2019