2,529+ academic papers on AI security, attacks, and defenses
Showing 1–6 of 6 papers
Clear filtersNikita Kezins, Urbas Ekka, Pascal Berrang +1 more
Guardrail Classifiers defend production language models against harmful behavior, but although results seem promising in testing, they provide no...
Wenxin Tang, Xiang Zhang, Junliang Liu +11 more
Automated vulnerability detection is a fundamental task in software security, yet existing learning-based methods still struggle to capture the...
Zeming Dong, Yuejun Guo, Qiang Hu +5 more
Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capture...
Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad Hamdaqa
Code understanding models increasingly rely on pretrained language models (PLMs) and graph neural networks (GNNs), which capture complementary...
Zhaohui Geoffrey Wang
Automated code vulnerability detection is critical for software security, yet existing approaches face a fundamental trade-off between detection...
Ronghao Ni, Mihai Christodorescu, Limin Jia
The rapidly evolving Node$.$js ecosystem currently includes millions of packages and is a critical part of modern software supply chains, making...
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