Overview on Deep Learning Aided Software Vulnerability Deep Learning Aided Software Vulnerability
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Authors: Chen Yang, Andrew Santosa, Ang Ming Yi, Abhishek Sharma, Asankhaya Sharma, David Lo Track: Technical Session: ... Shaoen Wu Noah Ziems School of Information Technology, Illinois State University. This video is part of the Udacity course "Intro to Information Security". Watch the full course at ... With the explosive growth of the amount of code in recent years, more and more Artificial Intelligence continues its transformative journey in the cybersecurity arena with the rise of groundbreaking startups like ... In this work we propose Dynamit, a monitoring framework to detect reentrancy
Zhigang Xu (1), Chaojun Li (1), Hongmu Han (1), Xinhua Dong (1), Zhiqiang Zheng (2), Haitao Wang (2), Jiaxi Zhang (2), ...
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Can AI Detect Zero-day Vulnerabilities In Code? - Learning To Code With AI
Automated Detection of Software Vulnerabilities Using Deep-Learning w/ Nidhi Rastogi - SANS HackFest
Is AI Code Review Reliable for Detecting Security Vulnerabilities? - Learning To Code With AI
Can AI Code Linters Really Catch Hidden Vulnerabilities? - Learning To Code With AI
Can Code Optimization AI Detect and Fix Security Vulnerabilities? - Learning To Code With AI
Software Vulnerabilities
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
32 - Neural Network Assisted Fuzzing - Discovering Software Vulnerabilities Using Deep Learning
USENIX Enigma 2021 - A Sound Mind in a Vulnerable Body: Practical Hardware Attacks on Deep Learning
VulDeeLocator Explained: Deep Learning for Precise Vulnerability Detection
Tensor Representation of Code for Vulnerability Detection
NDSS 2018 - VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
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Last Updated: June 8, 2026
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