This artifact includes the code to reproduce our experiments on DeepDFA, LineVul, and LineVul+DeepDFA, accepted at ICSE 2024. This constitutes a large part of the research prototype, with other ...
Abstract: Software vulnerability can cause disastrous consequences for information security. Earlier detection of vulnerabilities minimizes these consequences. Manual detection of vulnerable code is ...
Abstract: With the increasing use of smart contracts, vulnerabilities have become a critical concern, making intelligent vulnerability detection increasingly essential. Deep learning offers a ...
The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...
A recently disclosed vulnerability in Google’s Gemini AI panel could have allowed hackers to hijack the feature and access sensitive data on a user’s device. Researchers at Palo Alto Networks’ Unit 42 ...
Using graph neural networks and open-source repositories to detect code vulnerabilities. This is an implementation of the model described in: "Combining Graph-based Learning with Automated Data ...
A set of critical vulnerabilities dubbed 'ShellTorch' in the open-source TorchServe AI model-serving tool impact tens of thousands of internet-exposed servers, some of which belong to large ...
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