activity
20192024
most citedDeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment

17 citations · 89 across the 31 of their papers we have counts for

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16 papers · 1 filter

cs.AR2024

Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators

Mahdi Taheri, Natalia Cherezova, Mohammad Saeed Ansari +4

The stringent requirements for the Deep Neural Networks (DNNs) accelerator's reliability stand along with the need for reducing the computational burden on the hardware platforms,…

cs.AR2023

On-Chip Sensors Data Collection and Analysis for SoC Health Management

Konstantin Shibin, Maksim Jenihhin, Artur Jutman +2

Data produced by on-chip sensors in modern SoCs contains a large amount of information such as occurring faults, aging status, accumulated radiation dose, performance characteristi…

cs.AR2023★ 3 cited

A Novel Fault-Tolerant Logic Style with Self-Checking Capability

Mahdi Taheri, Saeideh Sheikhpour, Ali Mahani +1

We introduce a novel logic style with self-checking capability to enhance hardware reliability at logic level. The proposed logic cells have two-rail inputs/outputs, and the functi…

cs.AR2023★ 1 cited

Holistic IJTAG-based External and Internal Fault Monitoring in UAVs

Foisal Ahmed, Maksim Jenihhin

Cyber-Physical Systems (CPSs), such as Unmanned Aerial Vehicles (UAVs), use System-on-Chip (SoC) based computing platforms to perform multiple complex tasks in safety-critical appl…

cs.AR2023

Unsupervised Recycled FPGA Detection Using Symmetry Analysis

Tanvir Ahmad Tarique, Foisal Ahmed, Maksim Jenihhin +1

Recently, recycled field-programmable gate arrays (FPGAs) pose a significant hardware security problem due to the proliferation of the semiconductor supply chain. Ring oscillator (…

cs.AR2022

On BTI Aging Rejuvenation in Memory Address Decoders

Cemil Cem Gursoy, Daniel Kraak, Foisal Ahmed +3

Memory designs require timing margins to compensate for aging and fabrication process variations. With technology downscaling, aging mechanisms became more apparent, and larger mar…

cs.AR2021★ 15 cited

Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

Rapidly shrinking technology node and voltage scaling increase the susceptibility of Soft Errors in digital circuits. Soft Errors are radiation-induced effects while the radiation…

cs.AR2021★ 8 cited

The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

As an alternative to traditional fault injection-based methodologies and to explore the applicability of modern machine learning algorithms in the field of reliability engineering,…

cs.AR2021★ 11 cited

Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors

Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux +2

The paper is proposing a methodology for modeling a gate-level netlist using a Graph Convolutional Network (GCN). The model predicts the overall functional de-rating factors of seq…

cs.AR2021★ 4 cited

Representing Gate-Level SET Faults by Multiple SEU Faults at RTL

Ahmet Cagri Bagbaba, Maksim Jenihhin, Raimund Ubar +1

The advanced complex electronic systems increasingly demand safer and more secure hardware parts. Correspondingly, fault injection became a major verification milestone for both sa…

cs.AR2020★ 4 cited

New categories of Safe Faults in a processor-based Embedded System

C. C. Gursoy, M. Jenihhin, A. S. Oyeniran +4

The identification of safe faults (i.e., faults which are guaranteed not to produce any failure) in an electronic system is a crucial step when analyzing its dependability and its…

cs.AR2020★ 4 cited

Efficient Fault Injection based on Dynamic HDL Slicing Technique

Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik +1

This work proposes a fault injection methodology where Hardware Description Language (HDL) code slicing is exploited to prune fault injection locations, thus enabling more efficien…

cs.AR2020★ 4 cited

Accelerating Transient Fault Injection Campaigns by using Dynamic HDL Slicing

Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik +1

Along with the complexity of electronic systems for safety-critical applications, the cost of safety mechanisms evaluation by fault injection simulation is rapidly going up. To red…

cs.AR2019★ 2 cited

High-Level Combined Deterministic and Pseudoexhuastive Test Generation for RISC Processors

Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin +2

Recent safety standards set stringent requirements for the target fault coverage in embedded microprocessors, with the objective to guarantee robustness and functional safety of th…

cs.AR2019★ 10 cited

Towards Multidimensional Verification: Where Functional Meets Non-Functional

Maksim Jenihhin, Xinhui Lai, Tara Ghasempouri +1

Trends in advanced electronic systems' design have a notable impact on design verification technologies. The recent paradigms of Internet-of-Things (IoT) and Cyber-Physical Systems…

cs.AR2019★ 2 cited

Mixed-level identification of fault redundancy in microprocessors

Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin +2

A new high-level implementation independent functional fault model for control faults in microprocessors is introduced. The fault model is based on the instruction set, and is spec…