A multi-agent LLM system cuts false positives in static application security testing by 88.6% on the OWASP Benchmark while dropping recall by only 3.1%.
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UNVERDICTED 3representative citing papers
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
T-BiGAN integrates window-attention Transformers in a BiGAN to achieve ROC-AUC 0.95 and average precision 0.996 for unsupervised spatiotemporal anomaly detection in PMU data.
citing papers explorer
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QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing
A multi-agent LLM system cuts false positives in static application security testing by 88.6% on the OWASP Benchmark while dropping recall by only 3.1%.
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Orthogonal Least Squares with Integrated Information Theoretic Criteria for Joint Number of Targets and DoA Estimation
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
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Unsupervised Detection of Spatiotemporal Anomalies in PMU Data Using Transformer-Based BiGAN
T-BiGAN integrates window-attention Transformers in a BiGAN to achieve ROC-AUC 0.95 and average precision 0.996 for unsupervised spatiotemporal anomaly detection in PMU data.