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Privacy

2794 directly classified papers

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Papers

Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NIPS 2020
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020
Privacy Amplification via Random Check-Ins NIPS 2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NIPS 2020
Protecting Geolocation Privacy of Photo Collections AAAI 2020
How Private Are Commonly-Used Voting Rules? UAI 2020
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NIPS 2020
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Alleviating Privacy Attacks via Causal Learning ICML 2020
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks CVPR 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020
Adversarial Robustness for Code ICML 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy AISTATS 2020
Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
Learning Rate Adaptation for Differentially Private Learning AISTATS 2020