Introduction
Papers
SoK: Prudent Evaluation Practices for Fuzzing
FOX: Coverage-guided Fuzzing as Online Stochastic Control
On Understanding and Forecasting Fuzzers Performance with Static Analysis
autofz: Automated Fuzzer Composition at Runtime
Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing
DSFuzz: Detecting Deep State Bugs with Dependent State Exploration
Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation
Fuzz4All: Universal Fuzzing with Large Language Models
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing
Seed Selection for Successful Fuzzing
Balance Seed Scheduling via Monte Carlo Planning
Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis
Boosting Fuzzer Efficiency: An Information Theoretic Perspective
FuzzInMem: Fuzzing Programs via In-memory Structures
AFL++: Combining Incremental Steps of Fuzzing Research
Fuzzing with Data Dependency Information
Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing
Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization
Accelerating Fuzzing through Prefix-Guided Execution
Linux
Rust Elementary I
Rust Elementary II
Rust Elementary III
Rust Elementary IV
Rust Elementary V
Rust Elementary VI
Docker Sources Switch
Fuzzing
AFLpp build for Magma
FuzzBench Build
Fuzzbench new Fuzzer
Pwn
Glibc _IO_FILE Exploitation Introduction
Reverse
IDAPro Cheat Sheet 7.7
Theory
Practical Statistics
LLM
Shell
shell programming basic
shell programming techs I
Published with GitBook
LLM
Index of Large Language Models
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