Security & Privacy

Simultaneous Private Learning of Multiple Concepts JMLR 2019 The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding Interspeech 2019 The Language of Legal and Illegal Activity on the Darknet ACL 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems IJCAI 2018 Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 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 Robust Low-Rank Approximation 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 Graviton: Trusted Execution Environments on GPUs OSDI 2018 Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018 Inaudible Voice Commands: The Long-Range Attack and Defense NSDI 2018 Inferring Networks From Random Walk-Based Node Similarities NeurIPS 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Local Differential Privacy for Evolving Data NeurIPS 2018 Locally Private Hypothesis Testing ICML 2018 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018