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ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints

ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints

IEEE International Joint Conference on Neural Network (IJCNN), 2022
5 January 2022
Amira Guesmi
Khaled N. Khasawneh
Nael B. Abu-Ghazaleh
Ihsen Alouani
    AAML
ArXiv (abs)PDFHTML

Papers citing "ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints"

3 / 3 papers shown
Exploring the Interplay of Interpretability and Robustness in Deep
  Neural Networks: A Saliency-guided Approach
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
Amira Guesmi
Nishant Suresh Aswani
Mohamed Bennai
FAttAAML
196
7
0
10 May 2024
On Adversarial Robustness of Point Cloud Semantic Segmentation
On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu
Zhe Zhou
Boyuan Feng
Yufei Ding
Zhou Li
3DPCAAML
605
5
0
11 Dec 2021
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
762
17,337
0
25 Dec 2016
1
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