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Accelerating Fuzzing through Prefix-Guided Execution
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1080/01621459.1958.10501452openalex-snapshot
Nonparametric Estimation from Incomplete Observations
inferredcites →https://doi.org/10.1109/ase.2017.8115618openalex-snapshot
Learn&Fuzz: Machine learning for input fuzzing
inferredcites →https://doi.org/10.1109/icst46399.2020openalex-snapshot
2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST)
inferredcites →https://doi.org/10.1109/sp.2018.00046openalex-snapshot
Angora: Efficient Fuzzing by Principled Search
inferredcites →https://doi.org/10.1109/sp.2018.00056openalex-snapshot
T-Fuzz: Fuzzing by Program Transformation
inferredcites →https://doi.org/10.1109/sp.2019.00052openalex-snapshot
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
inferredcites →https://doi.org/10.1109/sp.2019.00069openalex-snapshot
Full-Speed Fuzzing: Reducing Fuzzing Overhead through Coverage-Guided Tracing
inferredcites →https://doi.org/10.1109/sp37862.2018openalex-snapshot
2018 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/sp40000.2020.00063openalex-snapshot
Pangolin: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction
inferredcites →https://doi.org/10.1109/sp40001.2021openalex-snapshot
2021 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/tse.2017.2785841openalex-snapshot
Coverage-Based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1109/tse.2019.2946563openalex-snapshot
The Art, Science, and Engineering of Fuzzing: A Survey
inferredcites →https://doi.org/10.1145/3106237.3106295openalex-snapshot
Steelix: program-state based binary fuzzing
inferredcites →https://doi.org/10.1145/3213846.3213868openalex-snapshot
Badger: complexity analysis with fuzzing and symbolic execution
inferredcites →https://doi.org/10.1145/3238147.3238176openalex-snapshot
FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage
inferredcites →https://doi.org/10.1145/3243734openalex-snapshot
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3338906openalex-snapshot
Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3368089.3409729openalex-snapshot
Fuzzing: on the exponential cost of vulnerability discovery
inferredcites →https://doi.org/10.1145/3377811openalex-snapshot
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3377811.3380386openalex-snapshot
Typestate-guided fuzzer for discovering use-after-free vulnerabilities
inferredcites →https://doi.org/10.1145/3395363.3397348openalex-snapshot
Learning input tokens for effective fuzzing
inferredcites →https://doi.org/10.1145/3460120.3484787openalex-snapshot
Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing
inferredcites →https://doi.org/10.1145/3460319.3464795openalex-snapshot
Seed selection for successful fuzzing
inferredcites →https://doi.org/10.14722/ndss.2016.23368openalex-snapshot
Driller: Augmenting Fuzzing Through Selective Symbolic Execution
inferredcites →https://doi.org/10.14722/ndss.2017.23404openalex-snapshot
VUzzer: Application-aware Evolutionary Fuzzing
inferredcites →https://doi.org/10.14722/ndss.2019.23371openalex-snapshot
REDQUEEN: Fuzzing with Input-to-State Correspondence
inferredcites →https://doi.org/10.2307/2291371openalex-snapshot
The Evidential Foundations of Probabilistic Reasoning.
inferredcites →https://doi.org/10.3929/ethz-b-000610905openalex-snapshot
Accelerating Fuzzing through Prefix-Guided Execution
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113008openalex-snapshot
Directed fuzzing with variable state diversity
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395191openalex-snapshot
Towards Path-Aware Coverage-Guided Fuzzing
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00013openalex-snapshot
Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00187openalex-snapshot
Sand: Decoupling Sanitization from Fuzzing for Low Overhead
inferred← citeshttps://doi.org/10.1109/qrs-c63300.2024.00112openalex-snapshot
Directed Fuzzing with Adaptive Path Guidance and Weighted Distribution
inferred← citeshttps://doi.org/10.1109/tcad.2024.3360318openalex-snapshot
Instiller: Toward Efficient and Realistic RTL Fuzzing
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3641553openalex-snapshot
MPS-Fuzz: An Enhanced Fine-Grained Fuzzing Based on Units With Multiple Inputs and Outputs
inferred← citeshttps://doi.org/10.1145/3605157.3605172openalex-snapshot
DiPri: Distance-Based Seed Prioritization for Greybox Fuzzing (Registered Report)
inferred← citeshttps://doi.org/10.1145/3617232.3624874openalex-snapshot
UBFuzz: Finding Bugs in Sanitizer Implementations
inferred← citeshttps://doi.org/10.1145/3640329openalex-snapshot
Machine Translation Testing via Syntactic Tree Pruning
inferred← citeshttps://doi.org/10.1145/3650212.3680394openalex-snapshot
Logos: Log Guided Fuzzing for Protocol Implementations
inferred← citeshttps://doi.org/10.1145/3654440openalex-snapshot
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing
inferred← citeshttps://doi.org/10.1145/3689757openalex-snapshot
PolyJuice: Detecting Mis-compilation Bugs in Tensor Compilers with Equality Saturation Based Rewriting
inferred← citeshttps://doi.org/10.1145/3696630.3728509openalex-snapshot
Efficient Test Generation for Dynamic Behaviors Leveraging Token-Level Input Commonalities
inferred← citeshttps://doi.org/10.1145/3702974openalex-snapshot
FunFuzz: Greybox Fuzzing with Function Significance
inferred← citeshttps://doi.org/10.1145/3730580openalex-snapshot
Efficient Fuzzing Infrastructure for Pointer-to-Object Association
inferred← citeshttps://doi.org/10.1145/3808326openalex-snapshot
Restart and Refine: Scalable IFDS Taint Analysis across Memory Budgets
inferred← citeshttps://doi.org/10.1145/3839464openalex-snapshot
Revisiting Path Coverage Tracing from a Node-Centric View
inferred← citeshttps://doi.org/10.1145/3840388openalex-snapshot
Efficient Input Minimization for Kernel Fuzzing via Relation- and Type-Guided Optimization
inferred← citeshttps://doi.org/10.1145/3845620openalex-snapshot
Neural Program Modeling Learning Program-Specific Models that Predict Execution Features from Input Features and vice versa
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4963553/v1openalex-snapshot
Systematic Review of Fuzzing in IoT: Evaluating Techniques, Vulnerabilities, and Research Gaps
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