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DatAFLow : Toward a Data-Flow-Guided Fuzzer
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10664-015-9362-zopenalex-snapshot
On the detection of custom memory allocators in C binaries
inferredcites →https://doi.org/10.1109/2.312032openalex-snapshot
Achieving software quality with testing coverage measures
inferredcites →https://doi.org/10.1109/32.238581openalex-snapshot
An experimental comparison of the effectiveness of branch testing and data flow testing
inferredcites →https://doi.org/10.1109/apsec.1995.496950openalex-snapshot
Dynamic data flow analysis for C++
inferredcites →https://doi.org/10.1109/cns48642.2020.9162273openalex-snapshot
Exploring Abstraction Functions in Fuzzing
inferredcites →https://doi.org/10.1109/eurosp53844.2022.00026openalex-snapshot
Fuzzing with Data Dependency Information
inferredcites →https://doi.org/10.1109/icse.1994.296778openalex-snapshot
Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteria
inferredcites →https://doi.org/10.1109/icst.2019.00015openalex-snapshot
MemFuzz: Using Memory Accesses to Guide Fuzzing
inferredcites →https://doi.org/10.1109/icst49551.2021.00021openalex-snapshot
Efficiently Finding Data Flow Subsumptions
inferredcites →https://doi.org/10.1109/issrew.2012.24openalex-snapshot
Baggy Bounds with Accurate Checking
inferredcites →https://doi.org/10.1109/msr52588.2021.00026openalex-snapshot
An Empirical Study of OSS-Fuzz Bugs
inferredcites →https://doi.org/10.1109/qrs.2015.30openalex-snapshot
How Effective Are Code Coverage Criteria?
inferredcites →https://doi.org/10.1109/sp.2018.00040openalex-snapshot
CollAFL: Path Sensitive Fuzzing
inferredcites →https://doi.org/10.1109/sp.2018.00046openalex-snapshot
Angora: Efficient Fuzzing by Principled Search
inferredcites →https://doi.org/10.1109/sp40000.2020.00022openalex-snapshot
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
inferredcites →https://doi.org/10.1109/sp40000.2020.00117openalex-snapshot
Ijon: Exploring Deep State Spaces via Fuzzing
inferredcites →https://doi.org/10.1109/tr.2018.2832072openalex-snapshot
Mapping the Effectiveness of Automated Test Suite Generation Techniques
inferredcites →https://doi.org/10.1109/tse.1985.232226openalex-snapshot
Selecting Software Test Data Using Data Flow Information
inferredcites →https://doi.org/10.1109/tse.2019.2946563openalex-snapshot
The Art, Science, and Engineering of Fuzzing: A Survey
inferredcites →https://doi.org/10.1109/tse.2022.3228334openalex-snapshot
Instance Space Analysis of Search-Based Software Testing
inferredcites →https://doi.org/10.1145/1065887.1065892openalex-snapshot
CCured: type-safe retrofitting of legacy software
inferredcites →https://doi.org/10.1145/1186736.1186737openalex-snapshot
SPEC CPU2006 benchmark descriptions
inferredcites →https://doi.org/10.1145/120807.120815openalex-snapshot
Data flow coverage and the C language
inferredcites →https://doi.org/10.1145/1375581.1375611openalex-snapshot
Efficient program execution indexing
inferredcites →https://doi.org/10.1145/1985793.1985795openalex-snapshot
A practical guide for using statistical tests to assess randomized algorithms in software engineering
inferredcites →https://doi.org/10.1145/24039.24041openalex-snapshot
The program dependence graph and its use in optimization
inferredcites →https://doi.org/10.1145/2892208.2892235openalex-snapshot
SVF: interprocedural static value-flow analysis in LLVM
inferredcites →https://doi.org/10.1145/2976749.2978428openalex-snapshot
Coverage-based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1145/3092255.3092268openalex-snapshot
Flexible and efficient memory object metadata
inferredcites →https://doi.org/10.1145/3133956.3134046openalex-snapshot
Designing New Operating Primitives to Improve Fuzzing Performance
inferredcites →https://doi.org/10.1145/3230624openalex-snapshot
A Theoretical Foundation of Sensitivity in an Abstract Interpretation Framework
inferredcites →https://doi.org/10.1145/3460319.3464795openalex-snapshot
Seed selection for successful fuzzing
inferredcites →https://doi.org/10.1145/3468264.3468570openalex-snapshot
Estimating residual risk in greybox fuzzing
inferredcites →https://doi.org/10.1145/3468264.3473932openalex-snapshot
FuzzBench: an open fuzzer benchmarking platform and service
inferredcites →https://doi.org/10.1145/3510003.3510230openalex-snapshot
On the reliability of coverage-based fuzzer benchmarking
inferredcites →https://doi.org/10.1145/96267.96279openalex-snapshot
An empirical study of the reliability of UNIX utilities
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.14722/bar.2018.23014openalex-snapshot
INSTRIM: Lightweight Instrumentation for Coverage-guided Fuzzing
inferredcites →https://doi.org/10.14722/fuzzing.2022.23001openalex-snapshot
datAFLow: Towards a Data-Flow-Guided Fuzzer
inferredcites →https://doi.org/10.14722/ndss.2019.23339openalex-snapshot
One Engine To Serve 'em All: Inferring Taint Rules Without Architectural Semantics
inferredcites →https://doi.org/10.14722/ndss.2019.23371openalex-snapshot
REDQUEEN: Fuzzing with Input-to-State Correspondence
inferredcites →https://doi.org/10.14722/ndss.2019.23412openalex-snapshot
NAUTILUS: Fishing for Deep Bugs with Grammars
inferredcites →https://doi.org/10.14722/ndss.2020.24422openalex-snapshot
Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization
inferredcites →https://doi.org/10.5075/epfl-thesis-7745openalex-snapshot
Elastic Program Transformations : Automatically Optimizing the Reliability/Performance Trade-off in Systems Software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-30488-9_23openalex-snapshot
A Formal Constraint-Based Method for Detecting Gaps in Input Validation Test Suites
inferred← citeshttps://doi.org/10.1007/s10515-026-00657-2openalex-snapshot
SymDict: A novel hybrid fuzzing method based on symbolic dictionaries
inferred← citeshttps://doi.org/10.1016/j.cose.2026.104886openalex-snapshot
FFuzz: Function-level execution-path-aware oracle optimization for efficient fuzzing on heterogeneous platforms
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108095openalex-snapshot
SiftFuzz: Boosting structural diversity via efficient seed fusion
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035233openalex-snapshot
Hardware Hybrid Testing Technology Based on Information Flow Path Guidance
inferred← citeshttps://doi.org/10.1109/ccsb71176.2026.11716440openalex-snapshot
Program Characteristic Card-Guided Seed Generation for Large Language Model-Assisted Fuzzing
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00219openalex-snapshot
Critical Variable State-Aware Directed Greybox Fuzzing
inferred← citeshttps://doi.org/10.1145/3605157.3605176openalex-snapshot
CrabSandwich: Fuzzing Rust with Rust (Registered Report)
inferred← citeshttps://doi.org/10.1145/3650212.3680316openalex-snapshot
Sleuth: A Switchable Dual-Mode Fuzzer to Investigate Bug Impacts Following a Single PoC
inferred← citeshttps://doi.org/10.1145/3711902openalex-snapshot
Finding Information Leaks with Information Flow Fuzzing
inferred← citeshttps://doi.org/10.1145/3730580openalex-snapshot
Efficient Fuzzing Infrastructure for Pointer-to-Object Association
inferred← citeshttps://doi.org/10.1145/3798257openalex-snapshot
RandSet: Randomized Corpus Reduction for Fuzzing Seed Scheduling
inferred← citeshttps://doi.org/10.1145/3830404openalex-snapshot
Cohort: Multiple Coverage Guided Greybox Fuzzing
inferred← citeshttps://doi.org/10.34229/2707-451x.26.2.9openalex-snapshot
Model-Based Test Cases Generation for Range-Sensitive Dataflow Coverage
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