output
20242026
most citedReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters

1 citations

6 papers

cs.AI2026

Item Response Theory for AI Safety

Joshua Fonseca Rivera, Neil Shah, David Demitri Africa +1

Language models differ in how safely they behave and these differences are measured by safety benchmarks. But aggregated benchmark scores are hard to trust and interpret, because b…

cs.CR2026

TrainShield: Targeted Awareness for Cybersecurity Training

Giovanni Pizzenti, Alberto Verna, Nikhil Jha +3

In recent years, cybersecurity threats have increasingly exploited human behaviour rather than purely technical vulnerabilities, exposing the limits of traditional awareness progra…

cs.LG2026

Revisiting Neural Activation Coverage for Uncertainty Estimation

Benedikt Franke, Nils Förster, Frank Köster +3

Neural activation coverage (NAC) is a recently-proposed technique for out-of-distribution detection and generalization. We build upon this promising foundation and extend the metho…

cs.SE2025★ 1 cited

ZeroFalse: Improving Precision in Static Analysis with LLMs

Mohsen Iranmanesh, Sina Moradi Sabet, Sina Marefat +4

Static Application Security Testing (SAST) tools are integral to modern software development, yet their adoption is undermined by excessive false positives that weaken developer tr…

cs.CR2025

GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing

Omar Tsai, Jianing Li, Tsz Tung Cheung +5

GraphQL APIs power production systems across financial services, e-commerce, and social platforms, yet their most critical access-control vulnerabilities--Insecure Direct Object Re…

cs.CR2024★ 1 cited

ReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters

Fengchen Yang, Zihao Dan, Kaikai Pan +3

With the boom of renewable energy sources (RES), the number of power inverters proliferates. Power inverters are the key electronic devices that transform the direct current (DC) p…