20 citations · 43 across the 11 of their papers we have counts for
6 papers · 1 filter
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning
Ren Wang, Zhe Xu, Alfred Hero
Deep learning-based Multi-Task Classification (MTC) is widely used in applications like facial attributes and healthcare that warrant strong privacy guarantees. In this work, we ai…
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…
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…
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
Ren Wang, Tianqi Chen, Philip Yao +3
K-Nearest Neighbor (kNN)-based deep learning methods have been applied to many applications due to their simplicity and geometric interpretability. However, the robustness of kNN-b…
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang, Kaidi Xu, Sijia Liu +4
Model-agnostic meta-learning (MAML) has emerged as one of the most successful meta-learning techniques in few-shot learning. It enables us to learn a meta-initialization} of model…