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For CIFAR10 and ImageNet models, the unlabelled subset from the STL10 dataset is used. Here 6k and 5k refer to randomly chosen 6000 and 5000 samples in training dataset. Such courses often can be found on government sites, such as the Federal Emergency Management Agency (FEMA) or at fire and rescue training academies. These kids' stationery crafts are made using simple materials found around the house. If the error occur in random position, a simple repetition of the attack more than twice (when threat model allows) followed by a majority voting can reduce the error rates. In the following, we explain the method to perform a first stage error correction to recover M’ from the RAM dump. On the other hand, a teacher or first responder must provide their corresponding ID. First the architecture is recovered from the RAM dump followed by error correction as described earlier. Due to the error introduced in RAM dump during the process of cold boot attack, the exact model M cannot be directly recovered. The L2 cache is initialized by the bootloader preventing cold boot attack but this is not the case with SRAM which remains uninitialised. We perform the cold boot attack with OpenVINO framework and model inference on NCS

This could be linked to the memory chip hardware properties. Another interesting parameter for the proposed attack is the position of bit errors in the victim memory dump. However, a single bit change in the exponent can result in a large magnitude change of the weight that can be easily identified. 0.1 %. As shown later, higher error rates result in higher RAD. 0.000009 %. We study the impact of such error rates on model accuracy. Further, even though the changes are small, as shown in Fig. 6, RAD can be as high as 0.7 (compared to 0.005 with low error rates). Changes in the mantissa results in a very small change in the magnitude of the weight. Usually, a change in the mantissa of the weight will result in a small magnitude change and will be difficult to identify. However, as there are 23 mantissa bits, they are more prone to errors

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