Skip to content
conftrace_

privacy preservation

393 papers

Papers

FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023 Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion IJCAI 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models ICML 2023 Fundamentals of Task-Agnostic Data Valuation AAAI 2023 GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference NeurIPS 2023 Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023 Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023 HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption ICML 2023 Incentive-Boosted Federated Crowdsourcing AAAI 2023 Instance-wise Batch Label Restoration via Gradients in Federated Learning ICLR 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023 LDP-Feat: Image Features with Local Differential Privacy ICCV 2023 Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers CVPR 2023 Mitigating Societal Harms in Large Language Models EMNLP 2023 On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer Interspeech 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation ICML 2023 On the Gini-impurity Preservation For Privacy Random Forests NeurIPS 2023 Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization CVPR 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization ACL 2023 Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression AAAI 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023