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
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
ICLR 2022
Incorporating Item Frequency for Differentially Private Set Union
AAAI 2022
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
NeurIPS 2022
Infinitely Divisible Noise in the Low Privacy Regime
ALT 2022
Interpretable Privacy Preservation of Text Representations Using Vector Steganography
AAAI 2022
Invernet: An Inversion Attack Framework to Infer Fine-Tuning Datasets through Word Embeddings
EMNLP 2022
Iron: Private Inference on Transformers
NeurIPS 2022
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
EMNLP 2022
Kantorovich Mechanism for Pufferfish Privacy
AISTATS 2022
Label differential privacy via clustering
AISTATS 2022
Label Leakage and Protection in Two-party Split Learning
ICLR 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
CVPR 2022
LAMP: Extracting Text from Gradients with Language Model Priors
NeurIPS 2022
Large-Scale Differentially Private BERT
EMNLP 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
ICLR 2022
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
NeurIPS 2022
Learning to Generate Inversion-Resistant Model Explanations
NeurIPS 2022
Lethal Dose Conjecture on Data Poisoning
NeurIPS 2022
Leveraging Adversarial Examples To Quantify Membership Information Leakage
CVPR 2022
Local Differential Privacy for Belief Functions
AAAI 2022
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion
IJCAI 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
CVPR 2022
Locally Differentially Private Reinforcement
Learning for Linear Mixture Markov Decision
Processes
ACML 2022
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
AAAI 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
NeurIPS 2022