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A systematic review of fuzzing based on machine learning techniques

A systematic review of fuzzing based on machine learning techniques

4 August 2019
Yan Wang
Peng Jia
Luping Liu
Jiayong Liu
ArXiv (abs)PDFHTML

Papers citing "A systematic review of fuzzing based on machine learning techniques"

23 / 23 papers shown
Title
A Survey of Fuzzing Open-Source Operating Systems
A Survey of Fuzzing Open-Source Operating Systems
Kun Hu
Qicai Chen
Zilong Lu
Wenzhuo Zhang
Bihuan Chen
You Lu
Haowen Jiang
Bingkun Sun
Xin Peng
Wenyun Zhao
98
0
0
21 Feb 2025
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
Felix Weissberg
Jonas Moller
Tom Ganz
Erik Imgrund
Lukas Pirch
Lukas Seidel
Moritz Schloegel
Thorsten Eisenhofer
Konrad Rieck
152
4
0
12 Feb 2025
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
Yaohui Chen
Mansour Ahmadi
Reza Mirzazade Farkhani
Boyu Wang
Long Lu
46
47
0
20 Feb 2020
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Suyoung Lee
HyungSeok Han
S. Cha
Sooel Son
71
88
0
13 Jan 2020
Learning-Guided Network Fuzzing for Testing Cyber-Physical System
  Defences
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Yuqi Chen
Christopher M. Poskitt
Jun Sun
Sridhar Adepu
Fan Zhang
43
55
0
12 Sep 2019
Side-Channel Aware Fuzzing
Side-Channel Aware Fuzzing
Philip Sperl
Konstantin Böttinger
34
7
0
14 Aug 2019
Optimizing seed inputs in fuzzing with machine learning
Optimizing seed inputs in fuzzing with machine learning
Liang Cheng
Yang Zhang
Yi Zhang
Chen Henry Wu
Zhangtan Li
Yu Fu
Haisheng Li
33
21
0
07 Feb 2019
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing
Yuwei Li
S. Ji
Chenyang Lv
Yuan Chen
Jianhai Chen
Qinchen Gu
Chunming Wu
52
49
0
04 Jan 2019
Recurrent Neural Networks for Fuzz Testing Web Browsers
Recurrent Neural Networks for Fuzz Testing Web Browsers
Martin Sablotny
B. S. Jensen
Chris W. Johnson
62
9
0
12 Dec 2018
Improving Grey-Box Fuzzing by Modeling Program Behavior
Improving Grey-Box Fuzzing by Modeling Program Behavior
Siddharth Karamcheti
Gideon Mann
David S. Rosenberg
33
5
0
21 Nov 2018
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
Siddharth Karamcheti
Gideon Mann
David S. Rosenberg
35
36
0
24 Aug 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning
FuzzerGym: A Competitive Framework for Fuzzing and Learning
W. Drozd
Michael D. Wagner
56
32
0
19 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
69
185
0
15 Jul 2018
SmartSeed: Smart Seed Generation for Efficient Fuzzing
SmartSeed: Smart Seed Generation for Efficient Fuzzing
Chenyang Lv
S. Ji
Yuwei Li
Junfeng Zhou
Jianhai Chen
Jing Chen
55
36
0
07 Jul 2018
Angora: Efficient Fuzzing by Principled Search
Angora: Efficient Fuzzing by Principled Search
Peng Chen
Hao Chen
43
541
0
04 Mar 2018
Deep Reinforcement Fuzzing
Deep Reinforcement Fuzzing
Konstantin Böttinger
Patrice Godefroid
Rishabh Singh
39
116
0
14 Jan 2018
Not all bytes are equal: Neural byte sieve for fuzzing
Not all bytes are equal: Neural byte sieve for fuzzing
Mohit Rajpal
W. Blum
Rishabh Singh
72
120
0
10 Nov 2017
Faster Fuzzing: Reinitialization with Deep Neural Models
Faster Fuzzing: Reinitialization with Deep Neural Models
Nicole Nichols
Mark Raugas
Robert J. Jasper
Nathan Hilliard
55
30
0
08 Nov 2017
Learn&Fuzz: Machine Learning for Input Fuzzing
Learn&Fuzz: Machine Learning for Input Fuzzing
Patrice Godefroid
Hila Peleg
Rishabh Singh
AAML
93
373
0
25 Jan 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
686
29,183
0
09 Sep 2016
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
148
2,198
0
10 Jun 2014
word2vec Explained: deriving Mikolov et al.'s negative-sampling
  word-embedding method
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg
Omer Levy
SSL
81
1,611
0
15 Feb 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
134
12,272
0
19 Dec 2013
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