# Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks

> Research article (2021 58th ACM/IEEE Design Automation Conference (DAC), 2021) · cited 10× · AI/ML

**Wikidata**: [openalex:W3214556310](https://www.wikidata.org/wiki/openalex:W3214556310)  
**Source**: https://4ort.xyz/entity/leveraging-noise-and-aggressive-quantization-of-in-memory-computing-for-robust-dnn-hardware-against-adversarial-input-an