20 citations · 20 across the 4 of their papers we have counts for
4 papers
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong +1
Given a classifier, the inherent property of semantic Out-of-Distribution (OOD) samples is that their contents differ from all legal classes in terms of semantics, namely semantic…
On Configurable Defense against Adversarial Example Attacks
Bo Luo, Min Li, Yu Li +1
Machine learning systems based on deep neural networks (DNNs) have gained mainstream adoption in many applications. Recently, however, DNNs are shown to be vulnerable to adversaria…
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators
Haiyue Song, Chengwen Xu, Qiang Xu +4
Neural approximate computing gains enormous energy-efficiency at the cost of tolerable quality-loss. A neural approximator can map the input data to output while a classifier deter…
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo, Yannan Liu, Lingxiao Wei +1
Machine learning systems based on deep neural networks, being able to produce state-of-the-art results on various perception tasks, have gained mainstream adoption in many applicat…