Privacy

Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams AISTATS 2018 Clustering Algorithms for the Centralized and Local Models ALT 2018 Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images CVPR 2018 Contamination Attacks and Mitigation in Multi-Party Machine Learning NeurIPS 2018 Corrupt Bandits for Preserving Local Privacy ALT 2018 Countering Adversarial Images using Input Transformations ICLR 2018 cpSGD: Communication-efficient and differentially-private distributed SGD NeurIPS 2018 Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying EMNLP 2018 Deep Siamese Architecture Based Replay Detection for Secure Voice Biometric Interspeech 2018 De-identifying Free Text of Japanese Dummy Electronic Health Records EMNLP 2018 Differentially Private Bayesian Inference for Exponential Families NeurIPS 2018 Differentially Private Change-Point Detection NeurIPS 2018 Differentially Private Contextual Linear Bandits NeurIPS 2018 Differentially Private Database Release via Kernel Mean Embeddings ICML 2018 Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018 Differentially Private k-Means with Constant Multiplicative Error NeurIPS 2018 Differentially Private Matrix Completion Revisited ICML 2018 Differentially Private Regression with Gaussian Processes AISTATS 2018 Differentially Private Robust Low-Rank Approximation NeurIPS 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Differentially Private Uniformly Most Powerful Tests for Binomial Data NeurIPS 2018 Differential Privacy for Growing Databases NeurIPS 2018 Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NeurIPS 2018 Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NeurIPS 2018 Fast Compliance Checking in an OWL2 Fragment IJCAI 2018