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Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
v1v2 (latest)

Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer

USENIX Security Symposium (USENIX Security), 2020
13 January 2020
Suyoung Lee
HyungSeok Han
S. Cha
Sooel Son
ArXiv (abs)PDFHTML

Papers citing "Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer"

13 / 13 papers shown
Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing
Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing
Myles Foley
Sergio Maffeis
Muhammad Fakhrur Rozi
Takeshi Takahashi
200
0
0
14 Oct 2025
PatchFuzz: Patch Fuzzing for JavaScript Engines
PatchFuzz: Patch Fuzzing for JavaScript Engines
Junjie Wang
Yuhan Ma
Xiaofei Xie
Xiaoning Du
Xinsong Zhang
349
2
0
01 May 2025
What is in the Chrome Web Store? Investigating Security-Noteworthy
  Browser Extensions
What is in the Chrome Web Store? Investigating Security-Noteworthy Browser ExtensionsACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024
Sheryl Hsu
Manda Tran
Aurore Fass
ELM
118
10
0
18 Jun 2024
SoK: Prudent Evaluation Practices for Fuzzing
SoK: Prudent Evaluation Practices for FuzzingIEEE 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
290
67
0
16 May 2024
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement
  Learning for LLM-based Mutation
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
Jueon Eom
Seyeon Jeong
Taekyoung Kwon
251
11
0
19 Feb 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
  Model Systems
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
ZuJie Wen
Ke Xu
Qi Li
383
106
0
11 Jan 2024
HOPPER: Interpretative Fuzzing for Libraries
HOPPER: Interpretative Fuzzing for LibrariesConference on Computer and Communications Security (CCS), 2023
Peng Chen
Yuxuan Xie
Yunlong Lyu
Yuxiao Wang
Hao Chen
199
29
0
07 Sep 2023
Fuzz4All: Universal Fuzzing with Large Language Models
Fuzz4All: Universal Fuzzing with Large Language ModelsInternational Conference on Software Engineering (ICSE), 2023
Chun Xia
Matteo Paltenghi
Jia Le Tian
Michael Pradel
Lingming Zhang
ELM
370
263
0
09 Aug 2023
MINER: A Hybrid Data-Driven Approach for REST API Fuzzing
MINER: A Hybrid Data-Driven Approach for REST API FuzzingUSENIX Security Symposium (USENIX Security), 2023
Chenyang Lyu
Jiacheng Xu
S. Ji
Xuhong Zhang
Qinying Wang
Xingshuang Lin
Gaoning Pan
Wei Cao
Jiliang Li
231
24
0
05 Mar 2023
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning
  Compilers
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning CompilersInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Jiawei Liu
Jinkun Lin
Fabian Ruffy
Cheng Tan
Jinyang Li
Aurojit Panda
Lingming Zhang
315
112
0
26 Jul 2022
SOK: On the Analysis of Web Browser Security
SOK: On the Analysis of Web Browser Security
Jungwon Lim
Yonghwi Jin
Mansour Alharthi
Xiaokuan Zhang
Jinho Jung
Rajat Gupta
Kuilin Li
Daehee Jang
Taesoo Kim
221
8
0
31 Dec 2021
Bilingual Problems: Studying the Security Risks Incurred by Native
  Extensions in Scripting Languages
Bilingual Problems: Studying the Security Risks Incurred by Native Extensions in Scripting LanguagesUSENIX Security Symposium (USENIX Security), 2021
Cristian-Alexandru Staicu
Sazzadur Rahaman
Ágnes Kiss
Michael Backes
241
15
0
22 Nov 2021
A systematic review of fuzzing based on machine learning techniques
A systematic review of fuzzing based on machine learning techniquesPLoS ONE (PLoS ONE), 2019
Yan Wang
Peng Jia
Luping Liu
Jiayong Liu
249
83
0
04 Aug 2019
1
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