Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
'20
'25
Papers
Recovering Private Text in Federated Learning of Language Models
NeurIPS 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
ICLR 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NeurIPS 2022
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
ICLR 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
CVPR 2022
Revisiting Queer Minorities in Lexicons
NAACL 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
ICML 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations
CVPR 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
NAACL 2022
Robust Federated Learning With Noisy and Heterogeneous Clients
CVPR 2022
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
ICLR 2022
Safe Distillation Box
AAAI 2022
Sample-and-threshold differential privacy: Histograms and applications
AISTATS 2022
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
NeurIPS 2022
SASH: Efficient secure aggregation based on SHPRG for federated learning
UAI 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
AAAI 2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
NeurIPS 2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
NeurIPS 2022
Secure Quantized Training for Deep Learning
ICML 2022
Selective Differential Privacy for Language Modeling
NAACL 2022
Selective Network Linearization for Efficient Private Inference
ICML 2022
Sentence-level Privacy for Document Embeddings
ACL 2022
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NeurIPS 2022
Shape And Structure Preserving Differential Privacy
NeurIPS 2022
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
ACL 2022