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Found 6 papers, 3 papers with code
Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
The cloud computing landscape has evolved significantly in recent years, embracing various sandboxes to meet the diverse demands of modern cloud applications.
MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption
Unfortunately, previous studies utilize hardware performance counters that lead to high performance overhead and profile limited number of microarchitectural attacks due to the small number of counters that can be profiled concurrently.
FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings
In this work, we employ both fuzzing and deep learning techniques to automate the generation and detection of Spectre gadgets.
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
Undermining User Privacy on Mobile Devices Using AI
Over the past years, literature has shown that attacks exploiting the microarchitecture of modern processors pose a serious threat to the privacy of mobile phone users.
