An Empirical Study of the Imbalance Issue in Software Vulnerability Detection | ScienceToStartup | ScienceToStartup

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References (43)

[1]

On the effectiveness of data balancing techniques in the context of ML-based test case prioritization

2022Jediael Mendoza, Jason Mycroft et al.

[2]

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

2022Sungha Choi, Seunghan Yang et al.

[3]

Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue

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"Optimize deep learning-based software vulnerability detection by addressing data imbalance issues using empirical findings."

Software Security•Score: 5•View PDF ↗

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An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

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References (43)

Founder's Pitch

"Optimize deep learning-based software vulnerability detection by addressing data imbalance issues using empirical findings."

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An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

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References (43)

Founder's Pitch

"Optimize deep learning-based software vulnerability detection by addressing data imbalance issues using empirical findings."

Commercial Viability Breakdown

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