Amira Guesmi

CoRR, 2024

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach.

[BibT_eX]

[DOI]

Nishant Suresh Aswani

CoRR, 2024

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition.

[BibT_eX]

[DOI]

Nishant Suresh Aswani

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation.

[BibT_eX]

[DOI]

IEEE Access, 2024

Defending against Adversarial Patches using Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

DAP: A Dynamic Adversarial Patch for Evading Person Detectors.

[BibT_eX]

[DOI]

Ruitian Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

Inf., 2023

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Muhammed Shafique

CoRR, 2023

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

AdvART: Adversarial Art for Camouflaged Object Detection Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

IEEE Access, 2023

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens.

[BibT_eX]

[DOI]

Ayoub Arous

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Des. Test, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Attack on Radar-based Environment Perception Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems.

[BibT_eX]

[DOI]

Shail Dave

Alberto Marchisio