Vulnerability analysis on noise-injection based hardware attack on deep neural networks

• المؤلفون الرئيسيون: Liu, Wenye, Wang, Si, Chang, Chip-Hong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Deep Neural Networks; Hardware Attacks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/136863

Despite superior accuracy on most vision recognition tasks, deep neural networks are susceptible to adversarial examples. Recent studies show that adding carefully crafted small perturbations on input layer can mislead a classifier into arbitrary categories. However, most adversarial attack algorith...