Backdoor Deployment
Backdoor Deployment is a malicious software technique that involves the covert insertion of a hidden access mechanism into a system or application, enabling unauthorized persistent remote control and data exfiltration by adversaries while evading detection.
14
Publications
660
Citations
54
Authors
28
Institutions
Publications per year
2017–2026
12
Parents
14
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
Huili Chen, Cheng Fu, Jishen Zhao et al. · 2019 · 309 citations · Full text
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Yuanchun Li, Jiayi Hua, Haoyu Wang et al. · 2021 · 70 citations
Stefanos Koffas, Jing Xu, Mauro Conti et al. · 2022 · 37 citations · Full text
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan et al. · arXiv (Cornell University) · 2020 · 30 citations · Full text
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28
Nanjing University of Science and Technology
Nanjing, China
2 h-index
7 publications
167 citations
University of California San Diego
San Diego, United States
2 h-index
6 publications
1.3K citations

University of Notre Dame
Notre Dame, United States
1 h-index
2 publications
52 citations

Hunan University
Changsha, China
1 h-index
1 publications
21 citations
INSA Hauts-de-France
Valenciennes, France
1 h-index
1 publications
33 citations

Nanjing University of Information Science and Technology
Nanjing, China
1 h-index
1 publications
26 citations
Université de Lille
Lille, France
1 h-index
1 publications
33 citations
Institute of Information Engineering
Beijing, China
1 h-index
1 publications
26 citations
1–8 of 28
1 publications · 26 citations
1
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Repository · 1 publications · 30 citations
1
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Conference · 1 publications · 24 citations
1
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TECS · 1 publications · 21 citations
1
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1 publications · 13 citations
1
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1–5