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Combining Innovative CVTNet and Regularization Loss for Robust Adversarial Defense
Wang, Wei-Dong, Li, Zhi, Zhang, Li
Published in Journal of computer science and technology (01.09.2024)
Published in Journal of computer science and technology (01.09.2024)
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Journal Article
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Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
Ren, Xuhua, Zhang, Lichi, Wei, Dongming, Shen, Dinggang, Wang, Qian
Published in Machine Learning in Medical Imaging (10.10.2019)
Published in Machine Learning in Medical Imaging (10.10.2019)
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Book Chapter
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Adversarial Defensive Framework for State of Health Prediction of Lithium Batteries
Tiane, Anas, Okar, Chafik, Chaoui, Hicham
Published in IEEE transactions on power electronics (01.10.2023)
Published in IEEE transactions on power electronics (01.10.2023)
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Journal Article
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Model Compression Hardens Deep Neural Networks: A New Perspective to Prevent Adversarial Attacks
Liu, Qi, Wen, Wujie
Published in IEEE transaction on neural networks and learning systems (01.01.2023)
Published in IEEE transaction on neural networks and learning systems (01.01.2023)
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Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity
Nakajima, Tasuku, Maeda, Keisuke, Togo, Ren, Ogawa, Takahiro, Haseyama, Miki
Published in IEEE Global Conference on Consumer Electronics (29.10.2024)
Published in IEEE Global Conference on Consumer Electronics (29.10.2024)
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Conference Proceeding
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Adversarial Attack and Defense for Transductive Support Vector Machine
Liu, Li, Chen, Haiyan, Yin, Changchun, Fang, Liming
Published in Proceedings of ... International Joint Conference on Neural Networks (30.06.2024)
Published in Proceedings of ... International Joint Conference on Neural Networks (30.06.2024)
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Conference Proceeding
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Smoothed Inference for Adversarially-Trained Models
Nemcovsky, Yaniv, Zheltonozhskii, Evgenii, Baskin, Chaim, Chmiel, Brian, Fishman, Maxim, Bronstein, Alex M, Mendelson, Avi
Year of Publication 17.11.2019
Year of Publication 17.11.2019
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Journal Article
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Smoothed Inference for Adversarially-Trained Models
Nemcovsky, Yaniv, Zheltonozhskii, Evgenii, Baskin, Chaim, Chmiel, Brian, Fishman, Maxim, Bronstein, Alex M, Mendelson, Avi
Published in arXiv.org (16.03.2020)
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Published in arXiv.org (16.03.2020)
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