223 citations · 296 across the 11 of their papers we have counts for
11 papers
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
Srishti Gupta, Zhang Chen, Luca Demetrio +9
Thanks to their extensive capacity, over-parameterized neural networks exhibit superior predictive capabilities and generalization. However, having a large parameter space is consi…
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…
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Zitong Yu, Xiaobai Li, Jingang Shi +2
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it…
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
Wei Peng, Jingang Shi, Zhaoqiang Xia +1
Graph Convolutional Networks (GCNs) have already demonstrated their powerful ability to model the irregular data, e.g., skeletal data in human action recognition, providing an exci…
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Zhaoqiang Xia, Wei Peng, Huai-Qian Khor +2
Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more s…
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…
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao +2
Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of handcrafted or learned featu…
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…
Unsupervised Deep Hashing for Large-scale Visual Search
Zhaoqiang Xia, Xiaoyi Feng, Jinye Peng +1
Learning based hashing plays a pivotal role in large-scale visual search. However, most existing hashing algorithms tend to learn shallow models that do not seek representative bin…