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FuzzSlice: Pruning False Positives in Static Analysis Warnings Through
  Function-Level Fuzzing

FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing

2 February 2024
Aniruddhan Murali
N. Mathews
Mahmoud Alfadel
M. Nagappan
Meng Xu
ArXivPDFHTML

Papers citing "FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing"

6 / 6 papers shown
Title
Harnessing the Power of LLM to Support Binary Taint Analysis
Harnessing the Power of LLM to Support Binary Taint Analysis
Puzhuo Liu
Chengnian Sun
Yaowen Zheng
Xuan Feng
Chuan Qin
...
Zhenyang Xu
Zhi Li
Peng Di
Yu Jiang
Limin Sun
37
11
0
10 Jan 2025
REDO: Execution-Free Runtime Error Detection for COding Agents
REDO: Execution-Free Runtime Error Detection for COding Agents
Shou Li
Andrey Kan
Laurent Callot
Bhavana Bhasker
Muhammad Shihab Rashid
Timothy B Esler
LRM
34
0
0
10 Oct 2024
Towards Robust Detection of Open Source Software Supply Chain Poisoning
  Attacks in Industry Environments
Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
Xinyi Zheng
Chen Wei
Shenao Wang
Yanjie Zhao
Peiming Gao
Yuanchao Zhang
Kailong Wang
Haoyu Wang
27
3
0
14 Sep 2024
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability
  Detection of Smart Contract Analysis Tools
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
Zexu Wang
Jiachi Chen
Zibin Zheng
Peilin Zheng
Yu Zhang
Weizhe Zhang
16
4
0
14 Feb 2024
How to Find Actionable Static Analysis Warnings: A Case Study with
  FindBugs
How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs
Rahul Yedida
Hong Jin Kang
Huy Tu
Xueqi Yang
David Lo
Tim Menzies
32
12
0
21 May 2022
DeFuzz: Deep Learning Guided Directed Fuzzing
DeFuzz: Deep Learning Guided Directed Fuzzing
Xiaogang Zhu
Shigang Liu
Xian Li
S. Wen
Jun Zhang
S. Çamtepe
Yang Xiang
20
9
0
23 Oct 2020
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