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Leveraging large data sets, deep Convolutional Neural Networks (CNNs) achieve state-of-the-art recognition accuracy. Due to the substantial compute and memory operations, however, they require significant execution time. The massive parallel computing capability of GPUs make them as one of the ideal platforms to accelerate CNNs and a number of GPU-based CNN libraries have been developed. While existing...
Despite significant advances in automated debugging, programmers still rely on traditional interactive debuggers (e.g., GDB) to find and fix bugs. While popular, these debuggers have major deficiencies: they do not guide the programmer in narrowing the source of error, and they only support a limited and low-level set of state-altering commands, hence semantic state alteration requires recompilation...
To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle the obfuscated viruses well since its detection methods that are based upon static signatures are not resilient to even slight variations in the code that forms the virus. In this paper, we propose a new type of virus signature,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.