Garbage Collection Errors
Garbage Collection Errors is a class of memory safety vulnerabilities arising from incorrect reclamation or retention of heap-allocated objects by an automated memory management system, leading to premature deallocation, dangling pointers, or memory leaks despite the presence of garbage collection.
4
Publications
380
Citations
13
Authors
5
Institutions
Publications per year
2017–2026
2
4
Garbage classification system based on improved ShuffleNet v2
Zhichao Chen, Jie Yang, Lifang Chen et al. · Resources Conservation and Recycling · 2021 · 194 citations
Fei Wu, Jiaona Zhou, Shunzhuo Wang et al. · 2018 · 13 citations
Bertrand Meyer · Communications of the ACM · 2017 · 11 citations
1–5 of 4
13
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1–5 of 13
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Stony Brook University
Stony Brook, United States
2 h-index
6 publications
519 citations

Jiangxi University of Science and Technology
Ganzhou, China
1 h-index
4 publications
776 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
13 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
5 publications
65 citations
University of Delaware
Newark, United States
1 h-index
1 publications
13 citations
Innopolis University
Innopolis, Russia
1 publications
11 citations
1–6 of 5
SEN · 1 publications · 21 citations
1
h-index
1 publications · 194 citations
1
h-index
1 publications · 11 citations
1–3