Works (5)

Updated: April 5th, 2024 13:02

2023 article

Hardware-Software Co-design for Side-Channel Protected Neural Network Inference

2023 IEEE INTERNATIONAL SYMPOSIUM ON HARDWARE ORIENTED SECURITY AND TRUST, HOST, pp. 155–166.

author keywords: machine learning inference; side-channel analysis; masking; flexibility
TL;DR: This paper develops a secure RISCV-based coprocessor design that can execute a neural network implemented in C/C++ that uses masking to execute various neural network operations like weighted summations, activation functions, and output layer computation in a sidechannel secure fashion. (via Semantic Scholar)
Source: Web Of Science
Added: August 7, 2023

2022 journal article

Guarding Machine Learning Hardware Against Physical Side-channel Attacks

ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 18(3).

By: A. Dubey n, R. Cammarota*, V. Suresh* & A. Aysu n

author keywords: Side-channel attack; neural networks; masking
TL;DR: This work develops and combines different flavors of side-channel defenses for ML models in the hardware blocks and proposes and optimize the first defense based on Boolean masking, which impedes a straightforward second-order attack on the first-order masked implementation. (via Semantic Scholar)
Source: Web Of Science
Added: December 5, 2022

2022 article

High-Fidelity Model Extraction Attacks via Remote Power Monitors

2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2022): INTELLIGENT TECHNOLOGY IN THE POST-PANDEMIC ERA, pp. 328–331.

By: A. Dubey n, E. Karabulut n, A. Awad n & A. Aysu n

author keywords: Neural networks; model stealing; time-to-digital converters; secure virtualization
TL;DR: It is demonstrated that a remote monitor implemented with time-to-digital converters can be exploited to steal the weights from a hardware implementation of NN inference, which expands the attack vector to multi-tenant cloud FPGA platforms. (via Semantic Scholar)
Source: Web Of Science
Added: November 7, 2022

2020 article

BoMaNet: Boolean Masking of an Entire Neural Network

2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD).

By: A. Dubey n, R. Cammarota* & A. Aysu n

author keywords: Masking; neural networks; side-channel attacks; model stealing
TL;DR: This work proposes the first fully-masked neural network inference engine design and improves the traditional Trichina's AND gates by adding pipelining elements for better glitch-resistance and architecting the whole design to sustain a throughput of 1 masked addition per cycle. (via Semantic Scholar)
Source: Web Of Science
Added: August 30, 2021

2020 journal article

Characterization of Limit State for Seismic Fragility Assessment of T-Joints in Piping System

JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 142(5).

By: A. Dubey n, A. Gupta n & S. Cho

author keywords: seismic fragility; piping; threaded T-joint; limit-state
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: September 28, 2020

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