conftrace_

privacy-preserving learning

117 papers

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Co-occurring keywords

differential privacy (1016) federated learning (1333) privacy preservation (380) knowledge distillation (3725) large language model (13587) stochastic gradient descent (1091) local differential privacy (73) distributed learning (563) collaborative learning (148) regret bound (1926)

Papers

Human-Imperceptible, Machine-Recognizable Images IJCAI 2025
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation ACL 2025
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling NIPS 2024
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models NAACL 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization NIPS 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024
Protecting Split Learning by Potential Energy Loss IJCAI 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NIPS 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 2024
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023
Privacy-preserving Representation Learning for Speech Understanding INTERSPEECH 2023
Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023
Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023