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Rcfuzzer: Reinforcement Learning-Based Collaborative Fuzzer

https://doi.org/10.2139/ssrn.4980328
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inferredcites →https://doi.org/10.1007/978-3-030-63618-0_5openalex-snapshot
BanditFuzz: A Reinforcement-Learning Based Performance Fuzzer for SMT Solvers
inferredcites →https://doi.org/10.1007/978-3-030-90022-9_10openalex-snapshot
Facilitating Parallel Fuzzing with Mutually-Exclusive Task Distribution
inferredcites →https://doi.org/10.1016/0169-7552(89)90019-6openalex-snapshot
Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1093/biomet/25.3-4.285openalex-snapshot
ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
inferredcites →https://doi.org/10.1109/access.2019.2936235openalex-snapshot
LearnAFL: Greybox Fuzzing With Knowledge Enhancement
inferredcites →https://doi.org/10.1109/ase51524.2021.9678810openalex-snapshot
Towards Systematic and Dynamic Task Allocation for Collaborative Parallel Fuzzing
inferredcites →https://doi.org/10.1109/icse48619.2023.00043openalex-snapshot
Learning Seed-Adaptive Mutation Strategies for Greybox Fuzzing
inferredcites →https://doi.org/10.1109/ms.2020.3016773openalex-snapshot
Fuzzing: Challenges and Reflections
inferredcites →https://doi.org/10.1109/sp.2018.00046openalex-snapshot
Angora: Efficient Fuzzing by Principled Search
inferredcites →https://doi.org/10.1109/tse.2019.2946563openalex-snapshot
The Art, Science, and Engineering of Fuzzing: A Survey
inferredcites →https://doi.org/10.1145/2976749.2978428openalex-snapshot
Coverage-based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1145/3236024.3275525openalex-snapshot
PAFL: extend fuzzing optimizations of single mode to industrial parallel mode
inferredcites →https://doi.org/10.1145/3270101.3270108openalex-snapshot
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
inferredcites →https://doi.org/10.1145/3427228.3427266openalex-snapshot
Cupid : Automatic Fuzzer Selection for Collaborative Fuzzing
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.1145/3576915.3623166openalex-snapshot
PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing
inferredcites →https://doi.org/10.1145/3580596openalex-snapshot
Dissecting American Fuzzy Lop: A FuzzBench Evaluation
inferredcites →https://doi.org/10.1145/3597926.3598067openalex-snapshot
Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models
inferredcites →https://doi.org/10.1145/3643659.3648563openalex-snapshot
BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning
inferredcites →https://doi.org/10.1145/3663529.3663844openalex-snapshot
Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling
inferredcites →https://doi.org/10.1145/96267.96279openalex-snapshot
An empirical study of the reliability of UNIX utilities
inferredcites →https://doi.org/10.1561/2200000070openalex-snapshot
A Tutorial on Thompson Sampling
inferredcites →https://doi.org/10.3390/app132413042openalex-snapshot
TAEF: A Task Allocation-Based Ensemble Fuzzing Framework for Optimizing the Advantages of Heterogeneous Fuzzers
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1111.1797openalex-snapshot
Analysis of Thompson Sampling for the multi-armed bandit problem
inferredcites →https://doi.org/10.48550/arxiv.1506.00779openalex-snapshot
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
inferredcites →https://doi.org/10.48550/arxiv.2010.01785openalex-snapshot
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
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