20 citations · 39 across the 6 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…
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…
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…
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang, Gaoyuan Zhang, Sijia Liu +3
When the training data are maliciously tampered, the predictions of the acquired deep neural network (DNN) can be manipulated by an adversary known as the Trojan attack (or poisoni…
Tensor Recovery from Noisy and Multi-Level Quantized Measurements
Ren Wang, Meng Wang, Jinjun Xiong
Higher-order tensors can represent scores in a rating system, frames in a video, and images of the same subject. In practice, the measurements are often highly quantized due to the…