Ihsen Alouani

Orcid: 0000-0001-5102-8087

According to our database1, Ihsen Alouani authored at least 69 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications.
CoRR, 2024

BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks.
CoRR, 2024

Evasive Hardware Trojan through Adversarial Power Trace.
CoRR, 2024

2023
SecureVolt: Enhancing Deep Neural Networks Security via Undervolting.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach.
Expert Syst. Appl., October, 2023

Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions.
Expert Syst. Appl., September, 2023

Ternary SRAM circuit designs with CNTFETs.
Int. J. Circuit Theory Appl., July, 2023

Deep learning-based hard spatial attention for driver in-vehicle action monitoring.
Expert Syst. Appl., June, 2023

May the Noise be with you: Adversarial Training without Adversarial Examples.
CoRR, 2023

Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems.
CoRR, 2023

Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches.
CoRR, 2023

DeepMem: ML Models as storage channels and their (mis-)applications.
CoRR, 2023

DAP: A Dynamic Adversarial Patch for Evading Person Detectors.
CoRR, 2023

AdvART: Adversarial Art for Camouflaged Object Detection Attacks.
CoRR, 2023

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation.
CoRR, 2023

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens.
Proceedings of the International Joint Conference on Neural Networks, 2023

VPP: Privacy Preserving Machine Learning via Undervolting.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

A Brain-inspired Approach for Malware Detection using Sub-semantic Hardware Features.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Stochastic-HMDs: Adversarial-Resilient Hardware Malware Detectors via Undervolting.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Jedi: Entropy-Based Localization and Removal of Adversarial Patches.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Ultra High Frequency Acoustic Coda Waves.
Dataset, May, 2022


On the Error Rate Performance of Full-Duplex Cooperative NOMA in Wireless Networks.
IEEE Trans. Commun., 2022

CNTFET-based ternary address decoder design.
Int. J. Circuit Theory Appl., 2022

SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks.
IEEE Des. Test, 2022

Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks.
CoRR, 2022

Adversarial Attack on Radar-based Environment Perception Systems.
CoRR, 2022

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems.
Proceedings of the 40th IEEE VLSI Test Symposium, 2022

ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2022

Breaking (and Fixing) Channel-based Cryptographic Key Generation: A Machine Learning Approach.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
A Memory Reliability Enhancement Technique for Multi Bit Upsets.
J. Signal Process. Syst., 2021

CNTFET design of a multiple-port ternary register file.
Microelectron. J., 2021

PDF-Malware: An Overview on Threats, Detection and Evasion Attacks.
CoRR, 2021

Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling.
CoRR, 2021

An Investigation on Inherent Robustness of Posit Data Representation.
Proceedings of the 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems, 2021

Lower Voltage for Higher Security: Using Voltage Overscaling to Secure Deep Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

LSTM-based System for Multiple Obstacle Detection using Ultra-wide Band Radar.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability.
Proceedings of the International Conference on Cyberworlds, 2021

Defensive approximation: securing CNNs using approximate computing.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD.
Signal Process. Image Commun., 2020

Power-efficient reliable register file for aggressive-environment applications.
IET Comput. Digit. Tech., 2020

A novel multi-view pedestrian detection database for collaborative Intelligent Transportation Systems.
Future Gener. Comput. Syst., 2020

Are CNNs Reliable Enough for Critical Applications? An Exploratory Study.
IEEE Des. Test, 2020

Vision-based human action recognition: An overview and real world challenges.
Digit. Investig., 2020

Defensive Approximation: Enhancing CNNs Security through Approximate Computing.
CoRR, 2020

Pedestrian detection using a moving camera: A novel framework for foreground detection.
Cogn. Syst. Res., 2020

NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep CNN-based Pedestrian Detection for Intelligent Infrastructure.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Cross-layer CNN Approximations for Hardware Implementation.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

2019
HEAP: A Heterogeneous Approximate Floating-Point Multiplier for Error Tolerant Applications.
Proceedings of the 30th International Workshop on Rapid System Prototyping, 2019

Facial Expression Recognition Based on DWT Feature for Deep CNN.
Proceedings of the 6th International Conference on Control, 2019

A new memory reliability technique for multiple bit upsets mitigation.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

MDAD: A Multimodal and Multiview in-Vehicle Driver Action Dataset.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
A Novel Heterogeneous Approximate Multiplier for Low Power and High Performance.
IEEE Embed. Syst. Lett., 2018

A Comprehensive Fault Injection Strategy for Embedded Systems Reliability Assessment.
Proceedings of the 2018 International Symposium on Rapid System Prototyping, 2018

Safe Driving : Driver Action Recognition using SURF Keypoints.
Proceedings of the 30th International Conference on Microelectronics, 2018

A Reliability Study on CNNs for Critical Embedded Systems.
Proceedings of the 36th IEEE International Conference on Computer Design, 2018

2017
AS8-static random access memory (SRAM): asymmetric SRAM architecture for soft error hardening enhancement.
IET Circuits Devices Syst., 2017

Reconfigurable Hardened Latch and Flip-Flop for FPGAs.
Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Adaptive Reliability for Fault Tolerant Multicore Systems.
Proceedings of the Euromicro Conference on Digital System Design, 2017

2016
Design of self-tuning reliable embedded systems and its application in railway transportation systems. (Conception de systèmes embarqués fiables et auto-réglables : applications sur les systèmes de transport ferroviaire).
PhD thesis, 2016

Register file reliability enhancement through adjacent narrow-width exploitation.
Proceedings of the 2016 International Conference on Design and Technology of Integrated Systems in Nanoscale Era, 2016

NS-SRAM: Neighborhood Solidarity SRAM for Reliability Enhancement of SRAM Memories.
Proceedings of the 2016 Euromicro Conference on Digital System Design, 2016

Auto-tuning Fault Tolerance Technique for DSP-Based Circuits in Transportation Systems.
Proceedings of the 1st International Workshop on RESource Awareness and Application Auto-tuning in Adaptive and heterogeNeous compuTing co-located with 19th International Conference on Design, 2016

2015
A multi-objective approach for software/hardware partitioning in a multi-target tracking system.
Proceedings of the 2015 International Symposium on Rapid System Prototyping, 2015

Modeling transistor level masking of soft errors in combinational circuits.
Proceedings of the 2015 IEEE East-West Design & Test Symposium, 2015

2014
ARABICA: A Reconfigurable Arithmetic Block for ISA Customization.
Proceedings of the Reconfigurable Computing: Architectures, Tools, and Applications, 2014

2012
Parity-based mono-Copy Cache for low power consumption and high reliability.
Proceedings of the 23rd IEEE International Symposium on Rapid System Prototyping, 2012


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