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Found 3 papers, 1 papers with code
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot.
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
We present a training process utilizing a semantic vulnerability graph (SVG) representation from source code, created by integrating edges from a sequential flow, control flow, and data flow, as well as a novel flow dubbed Poacher Flow (PF).
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge.
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