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2020 – today
- 2024
[j4]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12: 13571-13585 (2024)- [c8]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CVPR 2024: 24595-24604 - [c7]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Defending against Adversarial Patches using Dimensionality Reduction. DAC 2024: 222:1-222:6 - [i19]Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique:
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. CoRR abs/2402.06249 (2024) - [i18]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR abs/2403.11515 (2024) - [i17]Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR abs/2405.03244 (2024) - [i16]Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique:
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. CoRR abs/2405.06278 (2024) - [i15]Amira Guesmi, Muhammad Shafique:
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles. CoRR abs/2409.20426 (2024) - 2023
- [j3]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11: 109617-109668 (2023) - [j2]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14(12): 634 (2023) - [c6]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN 2023: 1-10 - [i14]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR abs/2303.01338 (2023) - [i13]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2303.01351 (2023) - [i12]Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani:
AdvART: Adversarial Art for Camouflaged Object Detection Attacks. CoRR abs/2303.01734 (2023) - [i11]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR abs/2303.01819 (2023) - [i10]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR abs/2305.11618 (2023) - [i9]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR abs/2308.03108 (2023) - [i8]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique:
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR abs/2308.06173 (2023) - [i7]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR abs/2311.12084 (2023) - [i6]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR abs/2311.12211 (2023) - 2022
- [j1]Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid:
SIT: Stochastic Input Transformation to Defend Against Adversarial Attacks on Deep Neural Networks. IEEE Des. Test 39(3): 63-72 (2022) - [c5]Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. IJCNN 2022: 1-10 - [c4]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i5]Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. CoRR abs/2201.01621 (2022) - [i4]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i3]Amira Guesmi, Ihsen Alouani:
Adversarial Attack on Radar-based Environment Perception Systems. CoRR abs/2211.01112 (2022) - [i2]Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael B. Abu-Ghazaleh:
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. CoRR abs/2211.01182 (2022) - 2021
- [c3]Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael B. Abu-Ghazaleh:
Defensive approximation: securing CNNs using approximate computing. ASPLOS 2021: 990-1003 - 2020
- [i1]Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael B. Abu-Ghazaleh:
Defensive Approximation: Enhancing CNNs Security through Approximate Computing. CoRR abs/2006.07700 (2020)
2010 – 2019
- 2019
- [c2]Dhouha El Houssaini, Amira Guesmi, Sabrine Khriji, Thomas Keutel, Kamel Besbes, Olfa Kanoun:
Experimental Investigation on Weather Changes Influences on Wireless Localization System. M&N 2019: 1-6 - [c1]Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Atika Rivenq:
HEAP: A Heterogeneous Approximate Floating-Point Multiplier for Error Tolerant Applications. RSP 2019: 36-42
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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