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Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks

Research article (Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023) · cited 10× · AI/ML
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Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks

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Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks is a scholarly article[1].

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  • Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/stateful-defenses-for-machine-learning-models-are-not-yet-secure-against-black-box-attacks
MLA “Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stateful-defenses-for-machine-learning-models-are-not-yet-secure-against-black-box-attacks.
BibTeX @misc{4ortxyz_stateful-defenses-for-machine-learning-models-are-not-yet-secure-against-black-box-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/stateful-defenses-for-machine-learning-models-are-not-yet-secure-against-black-box-attacks}, note = {Accessed: 2026-05-24}}
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