26 citations · 42 across the 8 of their papers we have counts for
4 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…
Deep learning-based person re-identification methods: A survey and outlook of recent works
Zhangqiang Ming, Min Zhu, Xiangkun Wang +5
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the…
Global-Local Dynamic Feature Alignment Network for Person Re-Identification
Zhangqiang Ming, Yong Yang, Xiaoyong Wei +4
The misalignment of human images caused by bounding box detection errors or partial occlusions is one of the main challenges in person Re-Identification (Re-ID) tasks. Previous loc…
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…