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EMShepherd: Detecting Adversarial Samples via Side-channel Leakage

Research article (Proceedings of the ACM Asia Conference on Computer and Communications Security, 2023) · cited 10× · AI/ML
academia openalex:W4383221534
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EMShepherd: Detecting Adversarial Samples via Side-channel Leakage

Summary

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage is a scholarly article[1].

Key Facts

  • EMShepherd: Detecting Adversarial Samples via Side-channel Leakage's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). EMShepherd: Detecting Adversarial Samples via Side-channel Leakage. Retrieved May 24, 2026, from https://4ort.xyz/entity/emshepherd-detecting-adversarial-samples-via-side-channel-leakage
MLA “EMShepherd: Detecting Adversarial Samples via Side-channel Leakage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/emshepherd-detecting-adversarial-samples-via-side-channel-leakage.
BibTeX @misc{4ortxyz_emshepherd-detecting-adversarial-samples-via-side-channel-leakage_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EMShepherd: Detecting Adversarial Samples via Side-channel Leakage}}, year = {2026}, url = {https://4ort.xyz/entity/emshepherd-detecting-adversarial-samples-via-side-channel-leakage}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EMShepherd: Detecting Adversarial Samples via Side-channel Leakage — https://4ort.xyz/entity/emshepherd-detecting-adversarial-samples-via-side-channel-leakage (retrieved 2026-05-24)

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