Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing

Research article (Computers & Security, 2021) · cited 24× · AI/ML
Press Enter · cited answer in seconds

Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing

Summary

Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing is a scholarly article[1].

Key Facts

  • Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing. Retrieved May 24, 2026, from https://4ort.xyz/entity/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing
MLA “Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing.
BibTeX @misc{4ortxyz_reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing}}, year = {2026}, url = {https://4ort.xyz/entity/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing — https://4ort.xyz/entity/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing · Last refreshed: