Skip to content
conftrace_

Privacy

3,022 papers

18
179
603
'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