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

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

A curated list of resources, methodologies, frameworks, and case studies for performing RCA on UAV systems.

🔍 Analyze Slack conversations effortlessly with BugLens, generating root cause analyses and QA insights using AWS Bedrock AI models.

Enterprise-grade KPI Anomaly Detection & Automated RCA System using Streamlit, Prophet, Isolation Forest, and a complete reporting engine (MD/PDF/ZIP).

AI Agents performing RCA with API support

OpenStack RCA (Root Cause Analysis) Engine

RCA Ace is designed for organizations seeking to enhance their understanding and utilization of insights derived from Root Cause Analyses (RCAs).

Clinical Root Cause Analysis MCP Server - AI-guided structured RCA with Fishbone (6M), 5-Why, and HFACS-MES integration for healthcare quality improvement

End-to-end RAG pipeline + FastAPI micro-agents (Super, RCA, SOP, Ticket) with a React/Vite chat frontend and Chroma vector store