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Privacy

3,022 papers

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Papers

You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas NAACL 2022 Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021 A Central Limit Theorem for Differentially Private Query Answering NeurIPS 2021 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Adaptive Machine Unlearning NeurIPS 2021 Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021 Addra: Metadata-private voice communication over fully untrusted infrastructure OSDI 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Addressing Compliance in Call Centers with Entity Extraction Interspeech 2021 ADePT: Auto-encoder based Differentially Private Text Transformation EACL 2021 Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods EMNLP 2021 Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation Interspeech 2021 Adversarial Examples Make Strong Poisons NeurIPS 2021 Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling EACL 2021 Adversarial Voice Conversion Against Neural Spoofing Detectors Interspeech 2021 A Framework for Private Matrix Analysis in Sliding Window Model ICML 2021 Against Membership Inference Attack: Pruning is All You Need IJCAI 2021 Amnesiac Machine Learning AAAI 2021 Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation NeurIPS 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NeurIPS 2021 An Investigation towards Differentially Private Sequence Tagging in a Federated Framework NAACL 2021 Anonymisation Models for Text Data: State of the art, Challenges and Future Directions ACL 2021 Antipodes of Label Differential Privacy: PATE and ALIBI NeurIPS 2021 An Uncertainty Principle is a Price of Privacy-Preserving Microdata NeurIPS 2021 Approximate Data Deletion from Machine Learning Models AISTATS 2021