Privacy

Revealing Scenes by Inverting Structure From Motion Reconstructions CVPR 2019 Revisiting Controlled Query Evaluation in Description Logics IJCAI 2019 Riverbed: Enforcing User-defined Privacy Constraints in Distributed Web Services NSDI 2019 Robust Learning from Untrusted Sources ICML 2019 Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019 Simultaneous Private Learning of Multiple Concepts JMLR 2019 Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware ICLR 2019 Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy Interspeech 2019 Sublinear Space Private Algorithms Under the Sliding Window Model ICML 2019 Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019 Survey Talk: Preserving Privacy in Speaker and Speech Characterisation Interspeech 2019 Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019 The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding Interspeech 2019 The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019 Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models NAACL 2019 Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People CVPR 2019 A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018 Advances and Challenges in Privacy Preserving Planning IJCAI 2018 Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018 Blind Justice: Fairness with Encrypted Sensitive Attributes ICML 2018 Bounded-Loss Private Prediction Markets NeurIPS 2018 Calibrating Noise to Variance in Adaptive Data Analysis COLT 2018 Certified Computation from Unreliable Datasets COLT 2018