26 citations · 42 across the 8 of their papers we have counts for
8 papers
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Kuofeng Gao, Yang Bai, Jindong Gu +2
Backdoor defenses have been studied to alleviate the threat of deep neural networks (DNNs) being backdoor attacked and thus maliciously altered. Since DNNs usually adopt some exter…
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li, Yang Bai, Yong Jiang +3
Deep neural networks (DNNs) have demonstrated their superiority in practice. Arguably, the rapid development of DNNs is largely benefited from high-quality (open-sourced) datasets,…
Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking
Jinghui Xu, Jifeng Zhu, Yong Yang
The development of deep learning technology has greatly promoted the performance improvement of automatic speech recognition (ASR) technology, which has demonstrated an ability com…
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…
A multi-level approach with visual information for encrypted H.265/HEVC videos
Wenying Wen, Rongxin Tu, Yushu Zhang +2
High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our…