Published:
We show that approximate computing can act as a security primitive by injecting input-dependent noise into neural computations. Defensive Approximation leverages hardware-level approximation to disrupt adversarial transferability while improving efficiency.
Published:
A shape-aware adversarial patch that reveals fundamental vulnerabilities in geometric perception systems.
Published:
A dynamic adversarial patch that generates printable, naturalistic patterns robust to pose changes, clothing deformation, and real-world transformations.
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We show that adversarial patches dominate predictions by creating outlier feature activations. ODDR detects and suppresses these anomalies through feature-space outlier modeling and dimension reduction, restoring robust predictions.
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A framework that significantly improves black-box adversarial attack transferability from Vision Transformers via spectral and semantic regularization.
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A stochastic differentiable defense framework that breaks gradient consensus via divergent responses across filtered transformations.
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A defense framework that disrupts cross-bit structural alignment to prevent patch transferability in quantized neural networks.
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We show that hallucination in vision-language models is caused by representational discontinuity—not object absence. We introduce Background-Consistent Re-encoding (BCR), which conceals objects by aligning their representations with the background while preserving token structure and attention flow.
Published in The International Workshop on Rapid System Prototyping (RSP), 2019, New York NY USA, 2019
Recommended citation: Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid, and Atika Rivenq
Published in The ACM international conference on architectural support for programming languages and operating systems (ASPLOS), 2021, USA, 2021
Recommended citation: Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh
Published in The IEEE Design & Test, 2022, 2022
Recommended citation: Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid
Published in The IEEE VLSI Test Symposium (VTS), 2022, San Diego, CA, USA, 2022
Recommended citation: Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
Published in International Joint Conference on Neural Networks (IJCNN), 2022, Padua, Italy, 2022
Recommended citation: Amira Guesmi, Khaled N. Khasawneh, Nael Abu-Ghazaleh, Ihsen Alouani'
Published in ArXiv, 2022
Recommended citation: Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh
Published in ArXiv, 2022
Recommended citation: Amira Guesmi, Ihsen Alouani
Published in International Joint Conference on Neural Networks (IJCNN), 2023, Queensland, Australia, 2023
Recommended citation: Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
Published in ArXiv, 2023
Recommended citation: Anis Amazigh Hamza, Amira Guesmi, Iyad Dayoub, Abderrahmane Amrouche, Ihsen Alouani
Published in ArXiv, 2023
Recommended citation: Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Published in The IEEE Access, 2023, 2023
Recommended citation: Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Published in The IEEE Access, 2024, 2024
Recommended citation: Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Published in The IEEE International Conference on Image Processing (ICIP) 2024, Abu Dhabi, UAE, 2024
Recommended citation: Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique
Published in The IEEE International Conference on Image Processing (ICIP) 2024, Abu Dhabi, UAE, 2024
Recommended citation: Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani
Published in ICIP: Security and Privacy of Machine Learning-based Vision Processing in Autonomous Systems (SPVis), 2024, Abu Dhabi, UAE, 2024
Recommended citation: Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique
Published in The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024, Seattle, Washington, USA, 2024
Recommended citation: Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
Published in The ACM/IEEE Design Automation Conference (DAC), 2024, San Francisco, USA, 2024
Recommended citation: Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Published in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024, Abu Dhabi, UAE, 2024
Recommended citation: Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique
Published in ContinualAI Unconference, 2023, Virtual, 2024
Recommended citation: Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
Published in Information, 2023, 2024
Recommended citation: Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.