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Found 2 papers, 1 papers with code
FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning
Therefore, we propose FortuneTeller, which for the first time leverages the superiority of RNNs to learn complex execution patterns and detects unseen microarchitectural attacks in real world systems.
SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks
We propose the SPOILER attack which exploits this leakage to speed up this reverse engineering by a factor of 256.
Cryptography and Security
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