Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2022) · cited 93× · AI/ML
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Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

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Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks
MLA “Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks.
BibTeX @misc{4ortxyz_sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks — https://4ort.xyz/entity/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks (retrieved 2026-05-24)

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