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In recent years, the security of AI systems has drawn increasing research attention, especially in the medical imaging realm.
A demonstration of the visual importance and flexibility of spatial-frequency amplitude and phase
Leon N Piotrowski and Fergus W Campbell · 1982
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Image phase or amplitude? rapid scene categorization is an amplitude-based process
Nathalie Guyader, Alan Chauvin, Carole Peyrin, Jeanny Hérault, and Christian Marendaz · 2004
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks
Jia Ding, Aoxue Li, Zhiqiang Hu, and Liwei Wang · 2017
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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A survey on deep learning in medical image analysis
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen Awm Van Der Laak, Bram Van Ginneken, and Clara I Sánchez · 2017
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Cupy: A numpy-compatible library for nvidia gpu calculations
Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, and Crissman Loomis · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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H-denseunet: Hybrid densely connected unet for liver and tumor segmentation from CT volumes
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, and Pheng-Ann Heng · 2018
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Fine-pruning: Defending against backdooring attacks on deep neural networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2018
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Attention u-net: Learning where to look for the pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018
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Endoscopy artifact detection (ead 2019) challenge dataset
Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James East, Georges Wagnieres, Victor Loschenov, Enrico Grisan, et al · 2019
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MMDetection: Open mmlab detection toolbox and benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
Cited alongside, same era.
Bcn20000: Dermoscopic lesions in the wild
Marc Combalia, Noel CF Codella, Veronica Rotemberg, Brian Helba, Veronica Vilaplana, Ofer Reiter, Cristina Carrera, Alicia Barreiro, Allan C Halpern, Susana Puig, et al · 2019
Cited alongside, same era.
Strip: A defence against trojan attacks on deep neural networks
Yansong Gao, Change Xu, Derui Wang, Shiping Chen, Damith C Ranasinghe, and Surya Nepal · 2019
Cited alongside, same era.
Reflection backdoor: A natural backdoor attack on deep neural networks
Yunfei Liu, Xingjun Ma, James Bailey, and Feng Lu · 2020
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Auto learning attention
Benteng Ma, Jing Zhang, Yong Xia, and Dacheng Tao · 2020
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Input-aware dynamic backdoor attack
Tuan Anh Nguyen and Anh Tran · 2020
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Bypassing backdoor detection algorithms in deep learning
Reza Shokri et al · 2020
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Practical detection of trojan neural networks: Data-limited and data-free cases
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, and Meng Wang · 2020
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Defending against backdoor attack on deep neural networks
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, and Xue Lin · 2020
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Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara, Edward Walczak, Keenan Moore, Heather Kaluzniak, Joel Rosenberg, Paul Blake, Zachary Rengel, Makinna Oestreich, et al · 2019
Cited alongside, same era.
Encoding ct anatomy knowledge for unpaired chest x-ray image decomposition
Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, and S Kevin Zhou · 2019
Cited alongside, same era.
Evaluate the malignancy of pulmonary nodules using the 3-d deep leaky noisy-or network
Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, and Sen Song · 2019
Cited alongside, same era.
Modified u-net (mu-net) with incorporation of object-dependent high level features for improved liver and liver-tumor segmentation in ct images
Hyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, and Lei Xing · 2019
Cited alongside, same era.
Local and global consistency regularized mean teacher for semi-supervised nuclei classification
Hai Su, Xiaoshuang Shi, Jinzheng Cai, and Lin Yang · 2019
Cited alongside, same era.
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, and Kouichi Sakurai · 2019
Cited alongside, same era.
Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y Zhao · 2019
Cited alongside, same era.
Attention residual learning for skin lesion classification
Jianpeng Zhang, Yutong Xie, Yong Xia, and Chunhua Shen · 2019
Cited alongside, same era.
Later among the works it cites.
Fda: Fourier domain adaptation for semantic segmentation
Yanchao Yang and Stefano Soatto · 2020
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Disabling backdoor and identifying poison data by using knowledge distillation in backdoor attacks on deep neural networks
Kota Yoshida and Takeshi Fujino · 2020
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Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
Jing Zhang and Dacheng Tao · 2020
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Bridging mode connectivity in loss landscapes and adversarial robustness
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, and Xue Lin · 2020
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Lira: Learnable, imperceptible and robust backdoor attacks
Khoa Doan, Yingjie Lao, Weijie Zhao, and Ping Li · 2021
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Few-shot backdoor defense using shapley estimation
Jiyang Guan, Zhuozhuo Tu, Ran He, and Dacheng Tao · 2021
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Invisible backdoor attack with sample-specific triggers
Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, and Siwei Lyu · 2021
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Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, and Pheng-Ann Heng · 2021
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Wanet - imperceptible warping-based backdoor attack
Tuan Anh Nguyen and Anh Tuan Tran · 2021
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Stabilized medical image attacks
Gege Qi, Lijun Gong, Yibing Song, Kai Ma, and Yefeng Zheng · 2021
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Backdoor attacks against deep learning systems in the physical world
Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, and Ben Y Zhao · 2021
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Vitae: Vision transformer advanced by exploring intrinsic inductive bias
Yufei Xu, Qiming Zhang, Jing Zhang, and Dacheng Tao · 2021
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Robust unlearnable examples: Protecting data privacy against adversarial learning
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, and Dacheng Tao · 2022
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