Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 68× · AI/ML
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Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

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Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-transferability-of-targeted-adversarial-examples-through-object-based-diverse-input
MLA “Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-transferability-of-targeted-adversarial-examples-through-object-based-diverse-input.
BibTeX @misc{4ortxyz_improving-the-transferability-of-targeted-adversarial-examples-through-object-based-diverse-input_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-transferability-of-targeted-adversarial-examples-through-object-based-diverse-input}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input — https://4ort.xyz/entity/improving-the-transferability-of-targeted-adversarial-examples-through-object-based-diverse-input (retrieved 2026-05-24)

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