Security & Privacy

Natural and Effective Obfuscation by Head Inpainting CVPR 2018 Nickel: A Framework for Design and Verification of Information Flow Control Systems OSDI 2018 Obladi: Oblivious Serializable Transactions in the Cloud OSDI 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NeurIPS 2018 Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NeurIPS 2018 Privacy-preserving Neural Representations of Text EMNLP 2018 Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018 Proving confidentiality in a file system using DiskSec OSDI 2018 Scalable Private Learning with PATE ICLR 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018 The Price of Privacy for Low-rank Factorization NeurIPS 2018 Towards Robust and Privacy-preserving Text Representations ACL 2018 ZebRAM: Comprehensive and Compatible Software Protection Against Rowhammer Attacks OSDI 2018 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Differentially Private Ordinary Least Squares ICML 2017 Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Identifying the Provision of Choices in Privacy Policy Text EMNLP 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NeurIPS 2017