Search Results for author:
Found 6 papers, 2 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.
DASH: Accelerating Distributed Private Machine Learning Inference with Arithmetic Garbled Circuits
Dash is based purely on arithmetic garbled circuits.
SEVurity: No Security Without Integrity -- Breaking Integrity-Free Memory Encryption with Minimal Assumptions
Full memory encryption for Virtual Machines (VM) protects against curious cloud providers as well as otherwise compromised hypervisors.
Cryptography and Security
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.
