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Privacy

2794 directly classified papers

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Papers

Auditing Differentially Private Machine Learning: How Private is Private SGD? NIPS 2020
Distributed Summation Privacy for Speech Enhancement INTERSPEECH 2020
Differentially Private Top-k Selection via Stability on Unknown Domain UAI 2020
Privacy Guarantees for De-Identifying Text Transformations INTERSPEECH 2020
Selling Data at an Auction under Privacy Constraints UAI 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
Assisted Learning: A Framework for Multi-Organization Learning NIPS 2020
Kaldi-Web: An Installation-Free, On-Device Speech Recognition System INTERSPEECH 2020
Online Data Poisoning Attacks L4DC 2020
Locally Differentially Private (Contextual) Bandits Learning NIPS 2020
Differentially Private Learning with Small Public Data AAAI 2020
A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract) AAAI 2020
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract) AAAI 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020
Privately Learning Thresholds: Closing the Exponential Gap COLT 2020
Hidden Trigger Backdoor Attacks AAAI 2020
Improving On-Device Speaker Verification Using Federated Learning with Privacy INTERSPEECH 2020
Understanding Gradient Clipping in Private SGD: A Geometric Perspective NIPS 2020
Efficient Private Algorithms for Learning Large-Margin Halfspaces ALT 2020
Differentially Private Clustering: Tight Approximation Ratios NIPS 2020
Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020