Results 241 to 250 of about 86,248 (260)
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Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

IEEE Journal on Selected Areas in Communications, 2021
Dongqi Han, Zhiliang Wang, Chen Wenqi
exaly  

Towards evaluating the robustness of deep diagnostic models by adversarial attack

Medical Image Analysis, 2021
Mingxia Liu, Dao-Qiang Zhang
exaly  

Interpreting Adversarial Examples in Deep Learning: A Review

ACM Computing Surveys, 2023
Sicong Han, Chenhao Lin, Chao Shen
exaly  

Adversarially Robust Continual Learning

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Hikmat Khan   +2 more
openaire   +1 more source

GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Sungyoon Lee, Hoki Kim, Jaewook Lee
exaly  

Interpreting Adversarial Examples and Robustness for Deep Learning-Based Auto-Driving Systems

IEEE Transactions on Intelligent Transportation Systems, 2022
Ke Wang   +2 more
exaly  

Physical-Layer Adversarial Robustness for Deep Learning-Based Semantic Communications

IEEE Journal on Selected Areas in Communications, 2023
Guoshun Nan, Jinli Zhai, Qimei Cui
exaly  

A Survey of Adversarial Defenses and Robustness in NLP

ACM Computing Surveys, 2023
Shreya Goyal   +2 more
exaly  

Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness

Proceedings of the IEEE, 2021
Guillermo Ortiz-JimĂ©nez   +2 more
exaly  

Improving Adversarial Robustness With Adversarial Augmentations

IEEE Internet of Things Journal
Chuanxi Chen   +4 more
openaire   +1 more source

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