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Privacy

363 directly classified papers

Papers per year

Papers

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021
See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021
Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021
Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021
On the Difficulty of Membership Inference Attacks CVPR 2021
Differentially Private Stochastic Coordinate Descent AAAI 2021
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021
Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Differentially Private Language Models Benefit from Public Pre-training EMNLP 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020
Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020
Differentially Private Learning with Small Public Data AAAI 2020
Adversarially Robust Streaming Algorithms via Differential Privacy NIPS 2020
Privacy Amplification via Random Check-Ins NIPS 2020
Federated Principal Component Analysis NIPS 2020
Synthetic Data Generators -- Sequential and Private NIPS 2020
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity NIPS 2020
Smoothly Bounding User Contributions in Differential Privacy NIPS 2020
CoinPress: Practical Private Mean and Covariance Estimation NIPS 2020
Assisted Learning: A Framework for Multi-Organization Learning NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020