The paper revisits Neural Program Smoothing (NPS) for fuzzing, a machine learning-guided fuzzing method, and conducts an extensive evaluation against standard gray-box fuzzers. The authors found that the original performance…
Continue readingThe paper addresses the challenge of achieving robustness to spatial transformations in computer vision. Traditional methods involve data augmentation or hard-coding invariances, but these can have limitations. The authors propose…
Continue readingThe research project led by Amit Mathapati at Cornell University in 2009 aims to create an advanced mathematical model, specifically an Artificial Neural Network (ANN), to improve the early detection…
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