Security & Privacy

Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Selling Data at an Auction under Privacy Constraints UAI 2020 Smoothed Analysis of Online and Differentially Private Learning NeurIPS 2020 Smoothly Bounding User Contributions in Differential Privacy NeurIPS 2020 Speech Pseudonymisation Assessment Using Voice Similarity Matrices Interspeech 2020 Streaming On-Device End-to-End ASR System for Privacy-Sensitive Voice-Typing Interspeech 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 The Attacker’s Perspective on Automatic Speaker Verification: An Overview Interspeech 2020 The Discrete Gaussian for Differential Privacy NeurIPS 2020 The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment Interspeech 2020 The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs EMNLP 2020 Thieves on Sesame Street! Model Extraction of BERT-based APIs ICLR 2020 Universal Adversarial Attacks on Spoken Language Assessment Systems Interspeech 2020 An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NeurIPS 2019 Capacity Bounded Differential Privacy NeurIPS 2019 Characterizing the Sample Complexity of Pure Private Learners JMLR 2019 Deep Leakage from Gradients NeurIPS 2019 Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NeurIPS 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NeurIPS 2019 Differentially Private Bayesian Linear Regression NeurIPS 2019 Differentially Private Community Detection in Attributed Social Networks ACML 2019 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019