Anonymization and data privacy

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning

Prototype-Based Layered Federated Cross-Modal Hashing

DISTANCE-BASED ONLINE LABEL INFERENCE ATTACKS AGAINST SPLIT LEARNING

Prosody is Not Identity: A Speaker Anonymization Approach Using Prosody Cloning

A Speech Representation Anonymization Framework via Selective Noise Perturbation

Quantum transfer learning using the large-scale unsupervised pre-trained model WavLM-Large for synthetic speech detection

Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning

Adapting exploratory behaviour in Active Inference for Autonomous Driving

Multi-Microphone Speaker Separation by Spatial Regions

Towards Practical Edge Inference Attacks against Graph Neural Networks