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
Free-rider Attacks on Model Aggregation in Federated Learning
AISTATS 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
AAAI 2021
Generalized Linear Bandits with Local Differential Privacy
NeurIPS 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
AAAI 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
NeurIPS 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
ICML 2021
Gradient Inversion with Generative Image Prior
NeurIPS 2021
Graph-Free Knowledge Distillation for Graph Neural Networks
IJCAI 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
IJCAI 2021
Grey-box Extraction of Natural Language Models
ICML 2021
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
AAAI 2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
ICML 2021
Hiding Numerical Vectors in Local Private and Shuffled Messages
IJCAI 2021
How Does Data Augmentation Affect Privacy in Machine Learning?
AAAI 2021
How effective is BERT without word ordering? Implications for language understanding and data privacy
ACL 2021
Improving Fairness and Privacy in Selection Problems
AAAI 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy
EMNLP 2021
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
AAAI 2021
Individual Privacy Accounting via a Rényi Filter
NeurIPS 2021
Information Obfuscation of Graph Neural Networks
ICML 2021
Instance-optimal Mean Estimation Under Differential Privacy
NeurIPS 2021
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
JMLR 2021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI 2021
InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion
IJCAI 2021