1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Deep Adversarially-Enhanced k-Nearest Neighbors
Ren Wang, Tianqi Chen, Alfred Hero
Recent works have theoretically and empirically shown that deep neural networks (DNNs) have an inherent vulnerability to small perturbations. Applying the Deep k-Nearest Neighbors…
cs.NE2021★ 1 cited
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…
cs.LG2020
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…