Experimental Investigation on Weather Changes Influences on Wireless Localization System. - Dhouha El Houssaini; Amira Guesmi; Sabrine Khriji; Thomas Keutel; Kamel Besbes; Olfa Kanoun (M&N, 2019)

HEAP: A Heterogeneous Approximate Floating-Point Multiplier for Error Tolerant Applications. - Amira Guesmi; Ihsen Alouani; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Atika Rivenq (RSP, 2019)

Defensive Approximation: Enhancing CNNs Security through Approximate Computing. - Amira Guesmi; Ihsen Alouani; Khaled N. Khasawneh; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Nael B. Abu-Ghazaleh (CoRR, 2020)

Defensive approximation: securing CNNs using approximate computing. - Amira Guesmi; Ihsen Alouani; Khaled N. Khasawneh; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Nael B. Abu-Ghazaleh (ASPLOS, 2021)

ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. - Amira Guesmi; Khaled N. Khasawneh; Nael B. Abu-Ghazaleh; Ihsen Alouani (IJCNN, 2022)

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. - Shail Dave; Alberto Marchisio; Muhammad Abdullah Hanif; Amira Guesmi; Aviral Shrivastava; Ihsen Alouani; Muhammad Shafique 001 (VTS, 2022)

Adversarial Attack on Radar-based Environment Perception Systems. - Amira Guesmi; Ihsen Alouani (CoRR, 2022)

Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. - Amira Guesmi; Ihsen Alouani; Khaled N. Khasawneh; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Nael B. Abu-Ghazaleh (CoRR, 2022)

SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks. - Amira Guesmi; Ihsen Alouani; Mouna Baklouti; Tarek Frikha; Mohamed Abid (IEEE Des. Test, 2022)

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. - Ayoub Arous; Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (IJCNN, 2023)

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2023)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CoRR, 2023)

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. - Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (Inf., 2023)

DAP: A Dynamic Adversarial Patch for Evading Person Detectors. - Amira Guesmi; Ruitian Ding; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CVPR, 2024)

Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (DAC, 2024)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Shafique 001 (ICIP, 2024)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks. - Amira Guesmi; Ioan Marius Bilasco; Muhammad Shafique 001; Ihsen Alouani (ICIP, 2024)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Bassem Ouni; Muhammad Shafique 001 (IROS, 2024)

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2024)

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. - Nishant Suresh Aswani; Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. - Amira Guesmi; Nishant Suresh Aswani; Muhammad Shafique 001 (CoRR, 2024)

Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles. - Amira Guesmi; Muhammad Shafique 001 (CoRR, 2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2024)

Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense. - Amira Guesmi; Muhammad Shafique (CoRR, 2025)