NEUZZ: Efficient Fuzzing with Neural Program Smoothing

NEUZZ: Efficient Fuzzing with Neural Program Smoothing

15 July 2018

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

18 / 18 papers shown

Title
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 86 47 0 29 Jan 2024
MINER: A Hybrid Data-Driven Approach for REST API Fuzzing Chenyang Lyu Jiacheng Xu S. Ji Xuhong Zhang Qinying Wang Binbin Zhao Gaoning Pan Wei Cao R. Beyah 38 13 0 05 Mar 2023
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 19 23 0 07 Sep 2022
$MC^2$ : Rigorous and Efficient Directed Greybox Fuzzing Abhishek Shah Dongdong She Samanway Sadhu Krishma Singal Peter Coffman Suman Jana 28 23 0 30 Aug 2022
Evaluating Synthetic Bugs Josh Bundt Andrew Fasano Brendan Dolan-Gavitt William K. Robertson T. Leek 14 17 0 23 Aug 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software Chuan-Yung Tsai Graham W. Taylor 11 2 0 29 Jan 2022
Automated Side Channel Analysis of Media Software with Manifold Learning Yuanyuan Yuan Qi Pang Shuai Wang AAML 40 18 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 Jianfeng Ma Cong Sun Juanru Li E. Bertino 29 23 0 07 Dec 2021
Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution Yifan Wang Yuchen Zhang Chengbin Pang Peng Li Nikolaos Triandopoulos Jun Xu 29 6 0 17 Sep 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 38 81 0 30 Jun 2021
An Empirical Study of OSS-Fuzz Bugs Zhen Yu Ding Claire Le Goues 25 43 0 21 Mar 2021
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates Alex Renda Yishen Chen Charith Mendis Michael Carbin 14 35 0 08 Oct 2020
A Generative Neural Network Framework for Automated Software Testing Leonid Joffe David J. Clark 33 2 0 29 Jun 2020
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities Manh-Dung Nguyen Sébastien Bardin Richard Bonichon Roland Groz Matthieu Lemerre 25 73 0 25 Feb 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 30 33 0 12 Dec 2019
A systematic review of fuzzing based on machine learning techniques Yan Wang Peng Jia Luping Liu Jiayong Liu 18 67 0 04 Aug 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 19 44 0 08 Jul 2019
A Review of Machine Learning Applications in Fuzzing Gary J. Saavedra Kathryn N. Rodhouse Daniel M. Dunlavy P. Kegelmeyer 11 27 0 13 Jun 2019