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NEUZZ: Efficient Fuzzing with Neural Program Smoothing

NEUZZ: Efficient Fuzzing with Neural Program Smoothing

15 July 2018
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
ArXivPDFHTML

Papers citing "NEUZZ: Efficient Fuzzing with Neural Program Smoothing"

12 / 12 papers shown
Title
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Yuqiang Sun
Daoyuan Wu
Yue Xue
Han Liu
Wei Ma
Lyuye Zhang
Miaolei Shi
Yingjiu Li
ELM
84
47
0
29 Jan 2024
Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with
  Coverage-preserving Coverage-guided Tracing
Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing
Stefan Nagy
A. Nguyen-Tuong
Jason Hiser
Jack W. Davidson
Matthew Hicks
11
23
0
07 Sep 2022
$MC^2$: Rigorous and Efficient Directed Greybox Fuzzing
MC2MC^2MC2: Rigorous and Efficient Directed Greybox Fuzzing
Abhishek Shah
Dongdong She
Samanway Sadhu
Krishma Singal
Peter Coffman
Suman Jana
9
23
0
30 Aug 2022
Evaluating Synthetic Bugs
Evaluating Synthetic Bugs
Josh Bundt
Andrew Fasano
Brendan Dolan-Gavitt
William K. Robertson
T. Leek
6
17
0
23 Aug 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing
  of Software
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
Chuan-Yung Tsai
Graham W. Taylor
6
2
0
29 Jan 2022
Automated Side Channel Analysis of Media Software with Manifold Learning
Automated Side Channel Analysis of Media Software with Manifold Learning
Yuanyuan Yuan
Qi Pang
Shuai Wang
AAML
34
18
0
09 Dec 2021
Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution
Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution
Yifan Wang
Yuchen Zhang
Chengbin Pang
Peng Li
Nikolaos Triandopoulos
Jun Xu
20
6
0
17 Sep 2021
An Empirical Study of OSS-Fuzz Bugs
An Empirical Study of OSS-Fuzz Bugs
Zhen Yu Ding
Claire Le Goues
20
43
0
21 Mar 2021
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities
Manh-Dung Nguyen
Sébastien Bardin
Richard Bonichon
Roland Groz
Matthieu Lemerre
15
73
0
25 Feb 2020
Using Deep Learning to Solve Computer Security Challenges: A Survey
Using Deep Learning to Solve Computer Security Challenges: A Survey
Yoon-Ho Choi
Peng Liu
Zitong Shang
Haizhou Wang
Zhilong Wang
Lan Zhang
Junwei Zhou
Qingtian Zou
AAML
22
33
0
12 Dec 2019
A systematic review of fuzzing based on machine learning techniques
A systematic review of fuzzing based on machine learning techniques
Yan Wang
Peng Jia
Luping Liu
Jiayong Liu
16
67
0
04 Aug 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
Dongdong She
Yizheng Chen
Abhishek Shah
Baishakhi Ray
Suman Jana
8
44
0
08 Jul 2019
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