Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1807.05620
Cited By
v1
v2
v3
v4 (latest)
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
15 July 2018
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"NEUZZ: Efficient Fuzzing with Neural Program Smoothing"
48 / 48 papers shown
Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
Jie Chen
Liangmin Wang
134
0
0
15 Nov 2025
MALF: A Multi-Agent LLM Framework for Intelligent Fuzzing of Industrial Control Protocols
Bowei Ning
Xuejun Zong
Kan He
AI4CE
227
0
0
03 Oct 2025
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
Mengdi Lu
Steven H. H. Ding
Furkan Alaca
P. Charland
LRM
172
1
0
23 Sep 2025
DeepGo: Predictive Directed Greybox Fuzzing
Network and Distributed System Security Symposium (NDSS), 2025
Peihong Lin
Pengfei Wang
Xu Zhou
Wei Xie
Gen Zhang
Kai Lu
371
12
0
29 Jul 2025
BandFuzz: An ML-powered Collaborative Fuzzing Framework
Wenxuan Shi
Linyu Wu
Jiahao Yu
Xinqian Sun
Wenbo Guo
Xinyu Xing
320
1
0
14 Jul 2025
SoK: Prudent Evaluation Practices for Fuzzing
IEEE Symposium on Security and Privacy (S&P), 2024
Moritz Schloegel
Nils Bars
Nico Schiller
Lukas Bernhard
Tobias Scharnowski
Addison Crump
Arash Ale Ebrahim
N. Bissantz
Marius Muench
Thorsten Holz
298
69
0
16 May 2024
WGAN-AFL: Seed Generation Augmented Fuzzer with Wasserstein-GAN
Liqun Yang
Chunan Li
Yongxin Qiu
Chaoren Wei
Zhiqiang Wang
Hongcheng Guo
Jinxin Ma
Zhoujun Li
137
2
0
30 Jan 2024
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
1.2K
116
0
29 Jan 2024
SyzRetrospector: A Large-Scale Retrospective Study of Syzbot
Joseph Bursey
A. A. Sani
Zhiyun Qian
157
5
0
22 Jan 2024
Smoothing Methods for Automatic Differentiation Across Conditional Branches
IEEE Access (IEEE Access), 2023
J. N. Kreikemeyer
Philipp Andelfinger
369
12
0
05 Oct 2023
Revisiting Neural Program Smoothing for Fuzzing
Maria-Irina Nicolae
Yibin Lei
Weifeng Liu
154
8
0
28 Sep 2023
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs
Alex Renda
Yi Ding
Michael Carbin
175
2
0
21 Sep 2023
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Network and Distributed System Security Symposium (NDSS), 2023
Kunpeng Zhang
Xiaogang Zhu
Xiao Xi
Min Xue
Chao Zhang
Sheng Wen
314
12
0
18 Aug 2023
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts
Christoph Sendner
Ruisi Zhang
Alexander Hefter
Alexandra Dmitrienko
F. Koushanfar
156
1
0
17 Jul 2023
Fuzzing with Quantitative and Adaptive Hot-Bytes Identification
T. D. Nguyen
Long H. Pham
Jun Sun
169
1
0
05 Jul 2023
Augmenting Greybox Fuzzing with Generative AI
Jie Hu
Qian Zhang
Heng Yin
322
62
0
11 Jun 2023
ACETest: Automated Constraint Extraction for Testing Deep Learning Operators
International Symposium on Software Testing and Analysis (ISSTA), 2023
Jingyi Shi
Yang Xiao
Yuekang Li
Yeting Li
Dongsong Yu
Chendong Yu
Hui Su
Jinan Xu
Wei Huo
AAML
322
31
0
29 May 2023
MINER: A Hybrid Data-Driven Approach for REST API Fuzzing
USENIX Security Symposium (USENIX Security), 2023
Chenyang Lyu
Jiacheng Xu
S. Ji
Xuhong Zhang
Qinying Wang
Xingshuang Lin
Gaoning Pan
Wei Cao
Jiliang Li
235
24
0
05 Mar 2023
Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing
Conference on Computer and Communications Security (CCS), 2021
Stefan Nagy
A. Nguyen-Tuong
Jason Hiser
Jack W. Davidson
Matthew Hicks
204
30
0
07 Sep 2022
M
C
2
MC^2
M
C
2
: Rigorous and Efficient Directed Greybox Fuzzing
Conference on Computer and Communications Security (CCS), 2022
Abhishek Shah
Dongdong She
Samanway Sadhu
Krishma Singal
Peter Coffman
Suman Jana
223
32
0
30 Aug 2022
Evaluating Synthetic Bugs
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021
Josh Bundt
Andrew Fasano
Brendan Dolan-Gavitt
William K. Robertson
T. Leek
196
20
0
23 Aug 2022
Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Dongdong She
Abhishek Shah
Suman Jana
282
78
0
22 Mar 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
Chuan-Yung Tsai
Graham W. Taylor
123
3
0
29 Jan 2022
Path Transitions Tell More:Optimizing Fuzzing Schedules via Runtime Program States
International Conference on Software Engineering (ICSE), 2022
Kunpeng Zhang
Xi Xiao
Xiaogang Zhu
Ruoxi Sun
Min Xue
Sheng Wen
196
30
0
12 Jan 2022
Better Pay Attention Whilst Fuzzing
Shunkai Zhu
Jingyi Wang
Jun Sun
J. Yang
Xingwei Lin
Liyi Zhang
Peng Cheng
102
6
0
14 Dec 2021
Programming with Neural Surrogates of Programs
Alex Renda
Yi Ding
Michael Carbin
165
6
0
12 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning
Yuanyuan Yuan
Qi Pang
Shuai Wang
AAML
284
20
0
09 Dec 2021
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search
Ruidong Han
Chao Yang
Siqi Ma
Chuang Tian
Cong Sun
Juanru Li
E. Bertino
212
32
0
07 Dec 2021
Practical Timing Side Channel Attacks on Memory Compression
Martin Schwarzl
Pietro Borrello
Gururaj Saileshwar
Hanna Müller
Michael Schwarz
Daniel Gruss
181
18
0
16 Nov 2021
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
918
370
0
28 Sep 2021
Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution
Yifan Wang
Yuchen Zhang
Chengbin Pang
Peng Li
Nikolaos Triandopoulos
Jun Xu
169
14
0
17 Sep 2021
The Threat of Offensive AI to Organizations
Computers & security (CS), 2021
Yisroel Mirsky
Ambra Demontis
J. Kotak
Ram Shankar
Deng Gelei
Liu Yang
Xinming Zhang
Wenke Lee
Yuval Elovici
Battista Biggio
283
111
0
30 Jun 2021
An Empirical Study of OSS-Fuzz Bugs
IEEE Working Conference on Mining Software Repositories (MSR), 2021
Zhen Yu Ding
Claire Le Goues
193
61
0
21 Mar 2021
Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis
Zhilong Wang
Li Yu
Suhang Wang
Peng Liu
144
5
0
20 Feb 2021
Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search
Yiru Zhao
Xiaoke Wang
Lei Zhao
Yueqiang Cheng
Heng Yin
439
4
0
03 Jan 2021
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates
Alex Renda
Yishen Chen
Charith Mendis
Michael Carbin
219
42
0
08 Oct 2020
A Generative Neural Network Framework for Automated Software Testing
Leonid Joffe
David J. Clark
204
2
0
29 Jun 2020
Learning Goals from Failure
Dave Epstein
Carl Vondrick
243
3
0
28 Jun 2020
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities
International Symposium on Recent Advances in Intrusion Detection (RAID), 2020
Manh-Dung Nguyen
Sébastien Bardin
Richard Bonichon
Roland Groz
Matthieu Lemerre
222
98
0
25 Feb 2020
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
International Symposium on Recent Advances in Intrusion Detection (RAID), 2020
Yaohui Chen
Mansour Ahmadi
Reza Mirzazade Farkhani
Boyu Wang
Long Lu
229
47
0
20 Feb 2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
Bo Zhang
Ruotong Yu
Haipei Sun
Yanying Li
Jun Xu
Wendy Hui Wang
AAML
229
15
0
24 Jan 2020
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
217
33
0
12 Dec 2019
Learning Transferable Graph Exploration
Neural Information Processing Systems (NeurIPS), 2019
H. Dai
Yujia Li
Chenglong Wang
Rishabh Singh
Po-Sen Huang
Pushmeet Kohli
223
22
0
28 Oct 2019
Fine Grained Dataflow Tracking with Proximal Gradients
USENIX Security Symposium (USENIX Security), 2019
Gabriel Ryan
Abhishek Shah
Dongdong She
Koustubha Bhat
Suman Jana
464
3
0
08 Sep 2019
A systematic review of fuzzing based on machine learning techniques
PLoS ONE (PLoS ONE), 2019
Yan Wang
Peng Jia
Luping Liu
Jiayong Liu
258
84
0
04 Aug 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
IEEE Symposium on Security and Privacy (S&P), 2019
Dongdong She
Yizheng Chen
Abhishek Shah
Baishakhi Ray
Suman Jana
179
53
0
08 Jul 2019
A Review of Machine Learning Applications in Fuzzing
Gary J. Saavedra
Kathryn N. Rodhouse
Daniel M. Dunlavy
P. Kegelmeyer
298
31
0
13 Jun 2019
Optimizing seed inputs in fuzzing with machine learning
Liang Cheng
Yang Zhang
Yi Zhang
Chen Henry Wu
Zhangtan Li
Yu Fu
Haisheng Li
139
30
0
07 Feb 2019
1
Page 1 of 1
