Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read
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Updated
Feb 21, 2025 - Python
Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Official implementation of RiskLoc, a method for localizing multi-dimensional root causes in time-series data.
Root Cause Analysis for Kubernetes
Integrare custom pentru Home Assistant care aduce datele din aplicația Pago direct în dashboard-ul tău. Monitorizează cardurile de plată, facturile emise, conturile de furnizori, plățile recente și vehiculele cu alerte pentru RCA și ITP — totul fără a deschide aplicația mobilă.
Intelligent AIOps platform with multi-agent architecture, knowledge graph, and time series prediction
An on-call oriented agent that turns Prometheus/Alertmanager alerts into actionable triage reports.
A curated list of resources, methodologies, frameworks, and case studies for performing RCA on UAV systems.
Observantio's Resolver is a ground-up AI engine for modern observability. It correlates metrics, traces, and logs into a unified intelligence layer that detects anomalies, forecasts trends, and automates root cause analysis (RCA).
Python tool that analyzes Slack conversations with AWS Bedrock AI to generate detailed RCA reports and actionable learnings for Dev and QA teams, with JIRA integration and intelligent summarization.
MHP-RCA is a Hawkes process-based RCA framework that integrates multi-source data.
Implementaion of root cause analysis methods for microservices
Kubernetes Intelligent root cause analysis
Home Assistant custom integration for checking Romanian car insurance (RCA) policy validity via AIDA (aida.info.ro)
Evidence-first workflow CLI for agents: generate a workspace, collect auditable artifacts, and drive triage/design/product decisions without chat-memory.
Vendor-neutral SRE investigation and root cause analysis (RCA) agent with schema-backed onboarding and provider adapters.
🔍 Analyze Slack conversations effortlessly with BugLens, generating root cause analyses and QA insights using AWS Bedrock AI models.
Geometric diagnostics for transformer hidden states (k99/d, spectral slope, layer drift, curvature). Apache-2.0.
AI-powered RCA generator for AWS incidents — CloudWatch logs + deploy history → structured postmortem draft
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