2020 NDSS SP USENIX ICSE 关于模糊测试论文

  • ICSE 2020

    • Typestate-Guided Fuzzer for Discovering Use-after-Free Vulnerabilities
    • MemLock: Memory Usage Guided Fuzzing
    • Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference
    • JVM Fuzzing for JIT-Induced Side-Channel Detection
    • Targeted Greybox Fuzzing with Static Lookahead Analysis
    • Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks
    • sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts
    • HyDiff: Hybrid Differential Software Analysis
  • NDSS 2020

    • HYPER-CUBE: High-Dimensional Hypervisor Fuzzing
    • HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing
    • HFL: Hybrid Fuzzing on the Linux Kernel
    • Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization
  • S&P 2020

    • SAVIOR: Towards Bug-Driven Hybrid Testing
    • RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization
    • IJON: Exploring Deep State Spaces via Fuzzing
    • PANGOLIN: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction
    • KRace: Data Race Fuzzing for Kernel File Systems
    • [Fuzzing JavaScript Engines with Aspect-preserving Mutation]
  • USENIX Security 2020

    • GREYONE: Data Flow Sensitive Fuzzing
    • FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning
    • ParmeSan: Sanitizer-guided Greybox Fuzzing
    • EcoFuzz: Adaptive Energy-Saving Greybox Fuzzing as a Variant of the Adversarial Multi-Armed Bandit
    • FANS: Fuzzing Android Native System Services via Automated Interface Analysis

关于模糊测试综述文章:

  • Fuzzing: Hack, Art, and Science
  • Survey of Directed Fuzzy Technology
  • A Review of Machine Learning Applications in Fuzzing
  • A systematic review of fuzzing based on machine learning techniques
  • The Art, Science, and Engineering of Fuzzing: A Survey
  • Fuzzing: Art, Science, and Engineering
  • Fuzzing: a survey
  • Fuzzing: State of the art

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