conftrace_

privacy preservation

380 papers

Explore in graph

Co-occurring keywords

federated learning (1333) large language model (13587) differential privacy (1016) machine unlearning (290) privacy protection (162) model compression (3302) knowledge distillation (3725) adversarial learning (1595) language model (4599) privacy-preserving learning (117)

Papers

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models COLING 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024
Generating Synthetic Documents with Clinical Keywords: A Privacy-Sensitive Methodology COLING 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks NAACL 2024
Dual Calibration-based Personalised Federated Learning IJCAI 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024
Label Leakage in Vertical Federated Learning: A Survey IJCAI 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
Federated Multi-View Clustering via Tensor Factorization IJCAI 2024
Dataset-Distillation Generative Model for Speech Emotion Recognition INTERSPEECH 2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding INTERSPEECH 2024
Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024
Protecting Privacy in Classifiers by Token Manipulation ACL 2024
Can LLMs get help from other LLMs without revealing private information? ACL 2024
A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation ACL 2024
Machine Unlearning of Pre-trained Large Language Models ACL 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NIPS 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition CVPR 2024