Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ahmadi, Mahya Morid"'
We propose FPGA-Patch, the first-of-its-kind defense that leverages automated program repair concepts to thwart power side-channel attacks on cloud FPGAs. FPGA-Patch generates isofunctional variants of the target hardware by injecting faults and find
Externí odkaz:
http://arxiv.org/abs/2304.02510
Extracting the architecture of layers of a given deep neural network (DNN) through hardware-based side channels allows adversaries to steal its intellectual property and even launch powerful adversarial attacks on the target system. In this work, we
Externí odkaz:
http://arxiv.org/abs/2303.06746
Autor:
Ahmadi, Mahya Morid, Khalid, Faiq, Vaidya, Radha, Kriebel, Florian, Steininger, Andreas, Shafique, Muhammad
Dynamic partial reconfiguration enables multi-tenancy in cloud-based FPGAs, which presents security challenges for tenants, IPs, and data. Malicious users can exploit FPGAs for remote side-channel attacks (SCAs), and shared on-chip resources can be u
Externí odkaz:
http://arxiv.org/abs/2303.06486
The advancements of deep neural networks (DNNs) have led to their deployment in diverse settings, including safety and security-critical applications. As a result, the characteristics of these models have become sensitive intellectual properties that
Externí odkaz:
http://arxiv.org/abs/2206.00402
Side-channel attacks on microprocessors, like the RISC-V, exhibit security vulnerabilities that lead to several design challenges. Hence, it is imperative to study and analyze these security vulnerabilities comprehensively. In this paper, we present
Externí odkaz:
http://arxiv.org/abs/2106.08877