Abstract: Federated learning (FL) is a privacy-preserving machine learning paradigm that enables multiple clients to train a unified model without disclosing their private data. However, ...

Abstract: Adversarial attacks and defenses in machine learning and deep neural network (DNN) have been gaining significant attention due to the rapidly growing applications of deep learning in ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

Anthropic's allegations against Alibaba have put AI distillation in focus. Here's how the technique works, why it's ...

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods Roozbeh Razavi-Far , Mohammad Meymani , Erfan Mahmoudinia , Dorsa Vazirzade , Peyman Paknezhad , Fateme ...

The University of Idaho is introducing three degrees in artificial intelligence starting this fall. The UI announced Thursday ...

MOSCOW — The University of Idaho is introducing three degrees in artificial intelligence starting this fall. The UI announced ...

The future of cybersecurity depends on professionals who can secure and govern AI.

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has announced its research into the Synergic Quantum ...

AI distillation attack records were shattered when Anthropic told the U.S. Senate that Alibaba’s Qwen lab ran 28.8 million ...