Recent Papers Related To Fuzzing

All Papers

• S&P 2019

  • NEUZZ: Efficient Fuzzing with Neural Program Smoothing
  • Fuzzing File Systems via Two-Dimensional Input Space Exploration
  • ProFuzzer: On-the-fly Input Type Probing for Better Zero-day Vulnerability Discovery
  • Razzer: Finding Kernel Race Bugs through Fuzzing
  • Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing

• S&P 2018

  • T-Fuzz: fuzzing by program transformation
  • Angora: Efficient Fuzzing by Principled Search
  • CollAFL: Path Sensitive Fuzzing

• S&P 2017

  • NEZHA: Efficient Domain-Independent Differential Testing

• USENUX Security2018

  • MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation
  • QSYM : A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

• USENUX Security2017

  • kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels

• CCS 2018

  • Evaluating fuzz testing
  • Hawkeye Towards a Desired Directed Grey-box Fuzzer

• CCS 2017

  • Directed Greybox Fuzzing
  • Designing New Operating Primitives to Improve Fuzzing Performance
  • DIFUZE: Interface aware fuzzing for kernel drivers

• CCS 2016

  • Coverage-based Greybox Fuzzing as Markov Chain

• NDSS 2019

  • REDQUEEN: Fuzzing with Input-to-State Correspondence
  • PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary
  • Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistant Applications
  • Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing
  • CodeAlchemist: Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript Engines

• NDSS 2018

  • IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing
  • What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices
  • Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing

• NDSS 2017

  • VUzzer: Application-aware Evolutionary Fuzzing
  • Driller: Argumenting Fuzzing Through Selective Symbolic Execution

• ICSE 2019

  • DifFuzz: Differential Fuzzing for Side-Channel Analysis
  • REST-ler: Stateful REST API Fuzzing
  • SLF: Fuzzing without Valid Seed Inputs
  • Superion: Grammar-Aware Greybox Fuzzing

• FSE 2018

  • Singularity: Pattern Fuzzing for Worst Case Complexity

• ASE 2018

  • ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
  • FairFuzz: A Targeted Mutation Strategy for Increasing Greybox Fuzz Testing Coverage

• PLDI 2019

  • Parser-Directed Fuzzing

• PLDI 2016

  • Coverage-Directed Differential Testing of JVM Implementations

• ACSAC 2018

  • TIFF: Using Input Type Inference To Improve Fuzzing

• ICST 2019

  • MEMFUZZ: Using Memory Accesses to Guide Fuzzing