3,032 research outputs found
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Despite the great achievements of deep neural networks (DNNs), the
vulnerability of state-of-the-art DNNs raises security concerns of DNNs in many
application domains requiring high reliability.We propose the fault sneaking
attack on DNNs, where the adversary aims to misclassify certain input images
into any target labels by modifying the DNN parameters. We apply ADMM
(alternating direction method of multipliers) for solving the optimization
problem of the fault sneaking attack with two constraints: 1) the
classification of the other images should be unchanged and 2) the parameter
modifications should be minimized. Specifically, the first constraint requires
us not only to inject designated faults (misclassifications), but also to hide
the faults for stealthy or sneaking considerations by maintaining model
accuracy. The second constraint requires us to minimize the parameter
modifications (using L0 norm to measure the number of modifications and L2 norm
to measure the magnitude of modifications). Comprehensive experimental
evaluation demonstrates that the proposed framework can inject multiple
sneaking faults without losing the overall test accuracy performance.Comment: Accepted by the 56th Design Automation Conference (DAC 2019
The "MIND" Scalable PIM Architecture
MIND (Memory, Intelligence, and Network Device) is an advanced parallel computer architecture for high performance computing and scalable embedded processing. It is a
Processor-in-Memory (PIM) architecture integrating both DRAM bit cells and CMOS logic devices on the same silicon die. MIND is multicore with multiple memory/processor nodes on
each chip and supports global shared memory across systems of MIND components. MIND is distinguished from other PIM architectures in that it incorporates mechanisms for efficient support of a global parallel execution model based on the semantics of message-driven multithreaded split-transaction processing. MIND is designed to operate either in conjunction with other conventional microprocessors or in standalone arrays of like devices. It also incorporates mechanisms for fault tolerance, real time execution, and active power management. This paper describes the major elements and operational methods of the MIND
architecture
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