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Found 5 papers, 2 papers with code
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
In particular, Pelta constitutes the first attempt at defending an ensemble model against the Self-Attention Gradient attack to the best of our knowledge.
VEDLIoT -- Next generation accelerated AIoT systems and applications
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications.
Plinius: Secure and Persistent Machine Learning Model Training
With the increasing popularity of cloud based machine learning (ML) techniques there comes a need for privacy and integrity guarantees for ML data.
TEEMon: A continuous performance monitoring framework for TEEs
Currently, only a limited number of performance measurement tools for TEE-based applications exist and none offer performance monitoring and analysis during runtime.
Cryptography and Security Distributed, Parallel, and Cluster Computing Performance C.4
Intel MPX Explained: An Empirical Study of Intel MPX and Software-based Bounds Checking Approaches
Memory-safety violations are a prevalent cause of both reliability and security vulnerabilities in systems software written in unsafe languages like C/C++.
Cryptography and Security
