PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators
Summary
PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators is a scholarly article[1].
Key Facts
PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/powergan-a-machine-learning-approach-for-power-sidechannel-attack-on-computeinmemory-accelerators
MLA“PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/powergan-a-machine-learning-approach-for-power-sidechannel-attack-on-computeinmemory-accelerators.
BibTeX@misc{4ortxyz_powergan-a-machine-learning-approach-for-power-sidechannel-attack-on-computeinmemory-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/powergan-a-machine-learning-approach-for-power-sidechannel-attack-on-computeinmemory-accelerators}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PowerGAN: A Machine Learning Approach for Power Side‐Channel Attack on Compute‐in‐Memory Accelerators — https://4ort.xyz/entity/powergan-a-machine-learning-approach-for-power-sidechannel-attack-on-computeinmemory-accelerators (retrieved 2026-05-24)
