58 citations · 305 across the 33 of their papers we have counts for
8 papers · 1 filter
Untargeted Backdoor Attack against Object Detection
Chengxiao Luo, Yiming Li, Yong Jiang +1
Recent studies revealed that deep neural networks (DNNs) are exposed to backdoor threats when training with third-party resources (such as training samples or backbones). The backd…
Backdoor Defense via Suppressing Model Shortcuts
Sheng Yang, Yiming Li, Yong Jiang +1
Recent studies have demonstrated that deep neural networks (DNNs) are vulnerable to backdoor attacks during the training process. Specifically, the adversaries intend to embed hidd…
BATT: Backdoor Attack with Transformation-based Triggers
Tong Xu, Yiming Li, Yong Jiang +1
Deep neural networks (DNNs) are vulnerable to backdoor attacks. The backdoor adversaries intend to maliciously control the predictions of attacked DNNs by injecting hidden backdoor…
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,…
Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li, Mingyan Zhu, Xue Yang +3
Deep learning, especially deep neural networks (DNNs), has been widely and successfully adopted in many critical applications for its high effectiveness and efficiency. The rapid d…
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia +5
Currently, deep neural networks (DNNs) are widely adopted in different applications. Despite its commercial values, training a well-performing DNN is resource-consuming. Accordingl…
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Neng Wang, Yang Bai, Kun Yu +3
Face forgery has attracted increasing attention in recent applications of computer vision. Existing detection techniques using the two-branch framework benefit a lot from a frequen…
Few-Shot Backdoor Attacks on Visual Object Tracking
Yiming Li, Haoxiang Zhong, Xingjun Ma +2
Visual object tracking (VOT) has been widely adopted in mission-critical applications, such as autonomous driving and intelligent surveillance systems. In current practice, third-p…