Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models

Research article (2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), 2022) · cited 10× · AI/ML
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Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models

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Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-the-effect-of-black-box-adversarial-attacks-on-medical-image-classification-models
MLA “Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-the-effect-of-black-box-adversarial-attacks-on-medical-image-classification-models.
BibTeX @misc{4ortxyz_analysis-of-the-effect-of-black-box-adversarial-attacks-on-medical-image-classification-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-the-effect-of-black-box-adversarial-attacks-on-medical-image-classification-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of the Effect of Black Box Adversarial Attacks on Medical Image Classification Models — https://4ort.xyz/entity/analysis-of-the-effect-of-black-box-adversarial-attacks-on-medical-image-classification-models (retrieved 2026-05-24)

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