Andrew Yuan

Dropout Attacks

2023 · arXiv (Cornell University)

Dropout is a common operator in deep learning, aiming to prevent overfitting by randomly dropping neurons during training. This paper introduces a new family of poisoning attacks against neural networks named DROPOUTATTACK. DROPOUTATTACK attacks the …

CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks

2024 · arXiv (Cornell University)

Neural networks have continued to gain prevalence in the modern era for their ability to model complex data through pattern recognition and behavior remodeling. However, the static construction of traditional neural networks inhibits dynamic intelligence. …