Detecting Data Poisoning in Split Learning Using Intraclass- Distance Inflated Loss Data poisoning attacks are a growing threat to the security of privacy-preserving machine learning. We investigate ...

Having the potential for high speed, high throughput, and low energy cost, optical neural networks (ONN s) have emerged as a promising candidate for accelerating deep learning tasks. In conventional ...