Privacy

Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020 On the Equivalence between Online and Private Learnability beyond Binary Classification NeurIPS 2020 Orchard: Differentially Private Analytics at Scale OSDI 2020 Pan-Private Uniformity Testing COLT 2020 Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020 PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud NSDI 2020 Protecting Geolocation Privacy of Photo Collections AAAI 2020 Selling Data at an Auction under Privacy Constraints UAI 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 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 Deep Leakage from Gradients NeurIPS 2019 Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019 How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019 Limits of Private Learning with Access to Public Data NeurIPS 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019