Abstract. Predictive analysis aims at detecting concurrency errors during runtime by monitoring a concrete execution trace of a concurrent program. In recent years, various models ...
Chao Wang, Sudipta Kundu, Malay K. Ganai, Aarti Gu...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
The performance of deep sub-micron designs can be affected by various parametric variations, manufacturing defects, noise or even modeling errors that are all statistical in natur...
Jing-Jia Liou, Kwang-Ting Cheng, Deb Aditya Mukher...
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Parameter tampering attacks are dangerous to a web application whose server fails to replicate the validation of user-supplied data that is performed by the client. Malicious user...