Alexandre Dulaunoy
3 indexed papers
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The paper investigates forecasting sparse and bursty vulnerability sightings, concluding that traditional time-series models like SARIMAX are inadequate, and count-based methods like Poisson regression offer more stable and interpretable alternatives.
The paper proposes GCVE, a decentralized, open, and extensible socio-technical model to standardize and enrich the entire lifecycle of vulnerability information, moving beyond simple identifier allocation.
The paper presents a pipeline to map Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK Enterprise techniques using a multi-label classifier trained on a curated gold dataset.
Papers
Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion
The paper presents a pipeline to map Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK Enterprise techniques using a multi-label classifier trained on a curated gold dataset.