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Found 3 papers, 1 papers with code
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Due to their growing popularity and computational cost, deep neural networks (DNNs) are being targeted for hardware acceleration.
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
These results demonstrate that backdoors in neural networks are both powerful and---because the behavior of neural networks is difficult to explicate---stealthy.
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Specifically, SafetyNets develops and implements a specialized interactive proof (IP) protocol for verifiable execution of a class of deep neural networks, i. e., those that can be represented as arithmetic circuits.
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