6 citations · 12 across the 6 of their papers we have counts for
6 papers
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà +6
RGB-D object recognition systems improve their predictive performances by fusing color and depth information, outperforming neural network architectures that rely solely on colors.…
Stateful Detection of Adversarial Reprogramming
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia +5
Adversarial reprogramming allows stealing computational resources by repurposing machine learning models to perform a different task chosen by the attacker. For example, a model tr…
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia +5
Adversarial reprogramming allows repurposing a machine-learning model to perform a different task. For example, a model trained to recognize animals can be reprogrammed to recogniz…
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +3
Face presentation attacks have become a major threat to face recognition systems and many countermeasures have been proposed in the past decade. However, most of them are devoted t…
Face Presentation Attack Detection in Learned Color-liked Space
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +2
Face presentation attack detection (PAD) has become a thorny problem for biometric systems and numerous countermeasures have been proposed to address it. However, majority of them…
Local feature hierarchy for face recognition across pose and illumination
Xiaoyue Jiang, Dong Zhang, Xiaoyi Feng
Even though face recognition in frontal view and normal lighting condition works very well, the performance degenerates sharply in extreme conditions. Recently there are many work…