IoT platform fuzzing: lessons learned

Enhancing Symbolic Execution by Machine Learning Based Solver Selection

Sheng-Han Wen (National Taiwan University), Wei-Loon Mow (National Taiwan University), Wei-Ning Chen (National Taiwan University), Chien-Yuan Wang (National Taiwan University), Hsu-Chun Hsiao (National Taiwan University)

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It Doesn’t Have to Be So Hard: Efficient Symbolic...

Vaibhav Sharma (University of Minnesota), Navid Emamdoost (University of Minnesota), Seonmo Kim (University of Minnesota), Stephen McCamant (University of Minnesota)

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Towards Automatically Generating a Sound and Complete Dataset for...

Aravind Machiry (UC Santa Barbara), Nilo Redini (UC Santa Barbara), Eric Gustafson (UC Santa Barbara), Hojjat Aghakhani (UC Santa Barbara), Christopher Kruegel (UC Santa Barbara), Giovanni Vigna (UC Santa Barbara)

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FitM: Binary-Only Coverage-GuidedFuzzing for Stateful Network Protocols

Dominik Maier, Otto Bittner, Marc Munier, Julian Beier (TU Berlin)

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