Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s10994-020-05908-7.Zhongkai) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
PMLR, 2020. Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, and Taylan Cemgil. Evaluating the adversarial robustness of adaptive test -time defenses. In International Conference on Machine Learning (ICML), pp. 4421–4435, 2022. Jia Deng, Wei Dong, Richard Socher, Li -Jia Li, Kai Li, and Li Fei -Fei. ImageNet: A large -scale hierarchical image database. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. Joy Dhar, Puneet Goyal, Maryam Haghighat, Nayyar Zaidi, Ferdous Sohel, Bao Q Vo, and KC San- tosh. Towards building robust models for unimodal and multimodal medical imaging data. Infor- mation fusion, pp. 103822, 2025. Joy Dhar, Nayyar Zaidi, and Maryam Haghighat. Effective and robust multimodal medical image analysis. arXiv preprint arXiv:2602.15346, 2026. Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin, Furui Liu, Yash Sharma, Adam Yala, and Ruitong Huang. MMA training: Direct input space margin maximization through adversarial training. In International Conference on Learning Representations (ICLR), 2019. Minjing Dong and Chang Xu. Adversarial robustness via random projection filters. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4077–4086, 2023. Published as a conference paper at ICLR 2026 12 [OFFICIAL] Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, and Yuan He. AdvDrop: Ad- versarial attack to DNNs by dropping information. In IEEE/CVF International Conference on Com
Evidence payload
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"reconstructed_doi": "10.1007/s10994-020-05908-7.Zhongkai",
"ref_index": 1,
"resolved_title": null,
"verdict_class": "incontrovertible"
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