Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
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603
183
'15
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Papers
Towards End-to-End Private Automatic Speaker Recognition
Interspeech 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
CVPR 2022
Towards Verifiable Federated Learning
IJCAI 2022
Tracing Text Provenance via Context-Aware Lexical Substitution
AAAI 2022
Training Text-to-Text Transformers with Privacy Guarantees
ACL 2022
Transfer Learning In Differential Privacy’s Hybrid-Model
ICML 2022
Trusted Loss Correction for Noisy Multi-Label
Learning
ACML 2022
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
EMNLP 2022
Two Methods for Spoofing-Aware Speaker Verification: Multi-Layer Perceptron Score Fusion Model and Integrated Embedding Projector
Interspeech 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
JMLR 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
Unsupervised Text Deidentification
EMNLP 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
NeurIPS 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
Interspeech 2022
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
IJCAI 2022
Utility Preservation of Clinical Text After De-Identification
ACL 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
IJCAI 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
NeurIPS 2022
VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models
NeurIPS 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
EMNLP 2022
Weight Perturbation as Defense against Adversarial Word Substitutions
EMNLP 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization
NeurIPS 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
NeurIPS 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
NeurIPS 2022
With False Friends Like These, Who Can Notice Mistakes?
AAAI 2022