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20212023
most citedDNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023

FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation

Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu +1

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 isof…

cs.CR2023★ 2 cited

DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing

Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu +1

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 launc…

cs.CR2023

SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs

Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya +3

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 rem…

cs.CR2022

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks

Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci +2

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 characterist…

cs.CR2021★ 1 cited

Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities

Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique

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 thes…