Terminator on SkyNet: a practical DVFS attack on DNN hardware IP for UAV object detection

Junge Xu, Bohan Xuan, An-Ting Liu, Mo Sun, Fan Zhang, Zeke Wang, Kui Ren
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引用次数: 1

Abstract

With increasing computation of various applications, dynamic voltage and frequency scaling (DVFS) is gradually deployed on FPGAs. However, its reliability and security haven't been sufficiently evaluated. In this paper, we present a practical DVFS fault attack targeting at the SkyNet accelerator IP and successfully destroy the detection accuracy. With no knowledge about the internal accelerator structure, our attack can achieve more than 98% detection accuracy loss under ten vulnerable operating point pairs (OPPs). Meanwhile, we explore the local injection with 1 ms duration and next double the intensity which can achieve more than 50% and 74% average accuracy loss respectively.
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天网上的终结者:用于无人机目标检测的DNN硬件IP的实际DVFS攻击
随着各种应用计算量的增加,动态电压频率缩放(DVFS)逐渐在fpga上得到应用。然而,其可靠性和安全性还没有得到充分的评价。本文提出了一种针对天网加速器IP的DVFS故障攻击方法,并成功地破坏了探测精度。在不了解加速器内部结构的情况下,我们的攻击可以在10个易受攻击的操作点对(opp)下实现98%以上的检测精度损失。同时,我们探索了持续时间为1 ms的局部注射和下一倍强度的局部注射,分别可以达到50%和74%以上的平均精度损失。
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