conftrace_

data privacy

108 papers

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Co-occurring keywords

machine unlearning (290) large language model (13587) federated learning (1333) differential privacy (1016) privacy attack (119) distributed learning (563) privacy-preserving machine learning (100) knowledge distillation (3725) adversarial attack (1621) membership inference (114)

Papers

ProPILE: Probing Privacy Leakage in Large Language Models NIPS 2023
Emergent and Predictable Memorization in Large Language Models NIPS 2023
Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
Should I disclose my dataset? Caveats between reproducibility and individual data rights EMNLP 2022
Private Set Generation with Discriminative Information NIPS 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder NIPS 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NIPS 2022
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography NIPS 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection NIPS 2022
Differential Privacy in Natural Language Processing: The Story So Far NAACL 2022
TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021
How effective is BERT without word ordering? Implications for language understanding and data privacy IJCNLP 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
How effective is BERT without word ordering? Implications for language understanding and data privacy ACL 2021
Neural Tangent Generalization Attacks ICML 2021
Zeph: Cryptographic Enforcement of End-to-End Data Privacy OSDI 2021
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020
TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control NSDI 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019
Deep Leakage from Gradients NIPS 2019
Making AI Forget You: Data Deletion in Machine Learning NIPS 2019