Home ›
Entities
› academia
› Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks
Summary
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks is a scholarly article[1].
Key Facts
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an
MLA“Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an.
BibTeX@misc{4ortxyz_leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks — https://4ort.xyz/entity/leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an (retrieved 2026-05-24)
