43 citations · 44 across the 4 of their papers we have counts for
5 papers
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang, Tianqi Chen, Stephen Lindsly +4
Adversarial attacks against deep neural networks (DNNs) are continuously evolving, requiring increasingly powerful defense strategies. We develop a novel adversarial defense framew…
Immuno-mimetic Deep Neural Networks (Immuno-Net)
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Biomimetics has played a key role in the evolution of artificial neural networks. Thus far, in silico metaphors have been dominated by concepts from neuroscience and cognitive psyc…
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang, Tianqi Chen, Stephen Lindsly +3
Adversarial attacks against deep neural networks are continuously evolving. Without effective defenses, they can lead to catastrophic failure. The long-standing and arguably most p…
Understanding Memory B Cell Selection
Stephen Lindsly, Maya Gupta, Cooper Stansbury +1
The mammalian adaptive immune system has evolved over millions of years to become an incredibly effective defense against foreign antigens. The adaptive immune system's humoral res…
An Algorithm for Cellular Reprogramming
Scott Ronquist, Geoff Patterson, Markus Brown +5
The day we understand the time evolution of subcellular elements at a level of detail comparable to physical systems governed by Newton's laws of motion seems far away. Even so, qu…