Patrick P. K. Chan

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Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion, and malware detection, although their security against well-crafted attacks that aim to evade detection by manipulating data at test time has not yet been thoroughly assessed. While previous work has been mainly focused on(More)
Pattern classifiers have been widely used in adversarial settings like spam and malware detection, although they have not been originally designed to cope with intelligent attackers that manipulate data at test time to evade detection. While a number of adversary-aware learning algorithms have been proposed, they are computationally demanding and aim to(More)
STUDY DESIGN Reliability analysis based on expert panel case series review and grading per the Enneking and Weinstein-Boriani-Biagini classification systems. OBJECTIVE To assess the reliability of the Enneking and Weinstein-Boriani-Biagini classification systems. SUMMARY OF BACKGROUND DATA The Enneking and Weinstein-Boriani-Biagini (WBB) classifications(More)
Visual perceptual learning is defined as performance enhancement on a sensory task and is distinguished from other types of learning and memory in that it is highly specific for location of the trained stimulus. The location specificity has been shown to be paralleled by enhancement in functional magnetic resonance imaging (fMRI) signal in the trained(More)
Content based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many indexing techniques are based on global feature distributions. However, these global distributions have limited discriminating power because they are unable to capture local image information. In this paper, we propose a content-based image(More)
Android smart phones have become more and more popular due to its increasing functionalities, compatibility and convenience. More and more Android applications have been developed and can be downloaded easily from app markets. However, Android malwares have increased significantly in recent years. In this paper, we proposed a feature set containing the(More)