Rule-based Intrusion Detection Systems (IDS) such as Suricata are central to network security, yet crafting effective detection rules demands deep expert knowledge and cannot keep pace with emerging threats. Existing LLM-based approaches can reduce analyst effort, but they either rely on curated threat intelligence tha...
Mughees Ur Rehman, Aritran Piplai, Murat Kantarcioglu· 0 citations
ADAE is introduced, a proposed AI engineering subdiscipline concerned with establishing measurable, continuous, and actionable accountability for deployed AI systems and treats accountability as a deployment-layer property rather than solely as a property of an individual model.
The results demonstrate that fairness interventions do not uniformly increase privacy risk; their impact depends on model architecture, subgroup size, and mitigation strategy, and the first unified empirical framework to support such auditing in practice.
U. Suleymanov, Ilhama Novruzova, Khalid Mammadov et al.· European Symposium on Securi...· 0 citations
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