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Privacy

2794 directly classified papers

Papers per year

Papers

Privacy-Preserving Feature Selection with Secure Multiparty Computation ICML 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods EMNLP 2021
Refocusing on Relevance: Personalization in NLG EMNLP 2021
Private learning implies quantum stability NIPS 2021
Learning from History for Byzantine Robust Optimization ICML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021
Differentially Private Quantiles ICML 2021
Certified Robustness to Word Substitution Attack with Differential Privacy NAACL 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models NAACL 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model NAACL 2021
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning NAACL 2021
Differentially-Private Clustering of Easy Instances ICML 2021
A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021
Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation CVPR 2021
Label-Only Membership Inference Attacks ICML 2021
Differentially Private Correlation Clustering ICML 2021
Machine Unlearning for Random Forests ICML 2021
Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System COLING 2020
Breaking the Communication-Privacy-Accuracy Trilemma NIPS 2020
Differentially Private Small Dataset Release Using Random Projections UAI 2020
Learning discrete distributions: user vs item-level privacy NIPS 2020
A Computational Separation between Private Learning and Online Learning NIPS 2020
Adversarially Robust Streaming Algorithms via Differential Privacy NIPS 2020