no code implementations • 2 Nov 2023 • Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
Our benchmark results show that many models are vulnerable to the attack strategies in the Tensor Trust dataset.
1 code implementation • 1 Sep 2023 • Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons
In this work, we focus on the image input to a vision-language model (VLM).
no code implementations • 25 Sep 2022 • Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko, David Brooks, Gu-Yeon Wei, H. T. Kung
While research in the field of transformer models has primarily focused on enhancing performance metrics such as accuracy and perplexity, practical applications in industry often necessitate a rigorous consideration of inference latency constraints.