9 citations · 9 across the 5 of their papers we have counts for
5 papers
Robust Eavesdropping in the Presence of Adversarial Communications for RF Fingerprinting
Andrew Yuan, Rajeev Sahay
Deep learning is an effective approach for performing radio frequency (RF) fingerprinting, which aims to identify the transmitter corresponding to received RF signals. However, bey…
FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
Jaechul Roh, Andrew Yuan, Jinsong Mao
Text-to-Image (T2I) diffusion models have rapidly advanced, enabling the generation of high-quality images that align closely with textual descriptions. However, this progress has…
CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks
Alejandro Antonio Mayorga, Alexander Yuan, Andrew Yuan +2
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…
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State
Koyena Pal, Jiuding Sun, Andrew Yuan +2
We conjecture that hidden state vectors corresponding to individual input tokens encode information sufficient to accurately predict several tokens ahead. More concretely, in this…
Dropout Attacks
Andrew Yuan, Alina Oprea, Cheng Tan
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 a…