The first paper in this session was Aoki & Shinagawa's "Sagitta: Facilitating Post-Fuzzing Root Cause Analysis via Data Flow Differencing" on easing post-fuzzing RCA by visualizing crash-causing data-flow differences. (https://www.acsac.org/2025/program/final/s228.html) 2/6
#Fuzzing #DataFlowAnalysis
Striving For Better C++ Code, Part II: Function Summaries to Speed Up the Data Flow Analysis | The CLion Blog

This is the second blog post in the series dedicated to Data Flow Analysis (DFA) and its implementation in CLion. Read the first part here: Striving For Better C++ Code, Part I: Data Flow Analysis

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