Amira Guesmi

Orcid: 0000-0002-8992-7958

According to our database1, Amira Guesmi authored at least 22 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Online presence:

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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

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks.
CoRR, 2024

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation.
IEEE Access, 2024

2023
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems.
Inf., 2023

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction.
CoRR, 2023

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches.
CoRR, 2023

Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook.
CoRR, 2023

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation.
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

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook.
IEEE Access, 2023

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

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

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

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

Experimental Investigation on Weather Changes Influences on Wireless Localization System.
Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019


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