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ACM Computing Surveys, 2022 Fuzz testing (fuzzing) has witnessed its prosperity in detecting security flaws recently. It generates a large number of test cases and monitors the executions for defects.
Xiaogang Zhu, Sheng Wen, Seyit A Camtepe
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DAFuzz: data-aware fuzzing of in-memory data stores [PDF]
PeerJ Computer Science, 2023 Fuzzing has become an important method for finding vulnerabilities in software. For fuzzing programs expecting structural inputs, syntactic- and semantic-aware fuzzing approaches have been particularly proposed.
Yingpei Zeng +7 more
doaj +3 more sources
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting [PDF]
IEEE Transactions on Information Forensics and Security, 2023 Blockchain smart contracts have given rise to a variety of interesting and compelling applications and emerged as a revolutionary force for the Internet.
Zhenguang Liu, Peng Qian, Qinming He
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Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models [PDF]
International Symposium on Software Testing and Analysis, 2022 Deep Learning (DL) systems have received exponential growth in popularity and have become ubiquitous in our everyday life. Such systems are built on top of popular DL libraries, e.g., TensorFlow and PyTorch which provide APIs as building blocks for DL ...
Yinlin Deng +4 more
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Cybersecurity, 2018 Security vulnerability is one of the root causes of cyber-security threats. To discover vulnerabilities and fix them in advance, researchers have proposed several techniques, among which fuzzing is the most widely used one.
Jun Li, Bodong Zhao, Chao Zhang
doaj +3 more sources
An Intelligent Fuzzing Data Generation Method Based on Deep Adversarial Learning
IEEE Access, 2019 Fuzzing (Fuzz testing) can effectively identify security vulnerabilities in software by providing a large amount of unexpected input to the target program. An important part of fuzzing test is the fuzzing data generation.
Zhihui Li +4 more
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Hybrid feature-based machine vision method for objective evaluation of textile pilling and fuzzing. [PDF]
PLoS ONEThe degree of pilling and fuzzing in textile fabrics is a crucial indicator of textile product quality. Current evaluation methods predominantly rely on subjective judgments, leading to issues such as rating errors and inefficiency.
Qingchun Jiao +3 more
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PTfuzz: Guided Fuzzing With Processor Trace Feedback
IEEE Access, 2018 Greybox fuzzing, such as american fuzzy lop (AFL), is very efficient in finding software vulnerability, which makes it the state-of-the-art fuzzing technology.
Gen Zhang +4 more
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Fuzz4ALL: Universal Fuzzing with Large Language Models [PDF]
International Conference on Software Engineering, 2023 Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in various software systems. Systems under test (SUTs) that take in programming or formal language as inputs, e.g., compilers, runtime engines, constraint solvers, and ...
Chun Xia +4 more
semanticscholar +1 more source
Guided Grey-Box Fuzzing Test Method Combining Distance and Weight [PDF]
Jisuanji gongcheng, 2021 Guided grey-box fuzzing test is a technique that can quickly test a specified location of a program.By analyzing the problem that the existing guided grey-box fuzzing test techniques are not accurate enough in guidance, this paper proposes a guided grey ...
LI Minglei, LU Yuliang, HUANG Hui, ZHU Kailong
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