41 citations · 112 across the 17 of their papers we have counts for
3 papers · 1 filter
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
Xiangyu Qi, Tinghao Xie, Ruizhe Pan +3
One major goal of the AI security community is to securely and reliably produce and deploy deep learning models for real-world applications. To this end, data poisoning based backd…
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
Xiangyu Qi, Jifeng Zhu, Chulin Xie +1
We study the realistic potential of conducting backdoor attack against deep neural networks (DNNs) during deployment stage. Specifically, our goal is to design a deployment-stage b…
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic +2
Despite the great successes achieved by deep neural networks (DNNs), recent studies show that they are vulnerable against adversarial examples, which aim to mislead DNNs by adding…