{"list":"other","total":61,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6572","title":"Explaining and Harnessing Adversarial Examples","created":"2014-12-20","cited_by_count":7364},{"id":"1706.06083","title":"Towards Deep Learning Models Resistant to Adversarial Attacks","created":"2017-06-19","cited_by_count":6415},{"id":"1312.6199","title":"Intriguing properties of neural networks","created":"2013-12-21","cited_by_count":5155},{"id":"1608.04644","title":"Towards Evaluating the Robustness of Neural Networks","created":"2016-08-16","cited_by_count":2998},{"id":"2003.01690","title":"Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks","created":"2020-03-03","cited_by_count":1451},{"id":"1611.08097","title":"Geometric deep learning: going beyond Euclidean data","created":"2016-11-24","cited_by_count":1048},{"id":"1611.01236","title":"Adversarial Machine Learning at Scale","created":"2016-11-04","cited_by_count":936},{"id":"2001.03994","title":"Fast is better than free: Revisiting adversarial training","created":"2020-01-12","cited_by_count":727},{"id":"1912.00049","title":"Square Attack: a query-efficient black-box adversarial attack via random search","created":"2019-11-29","cited_by_count":685},{"id":"1705.08039","title":"Poincar\\'e Embeddings for Learning Hierarchical Representations","created":"2017-05-22","cited_by_count":684},{"id":"1511.04508","title":"Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks","created":"2015-11-14","cited_by_count":678},{"id":"1704.01155","title":"Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks","created":"2017-04-04","cited_by_count":486},{"id":"1805.09112","title":"Hyperbolic Neural Networks","created":"2018-05-23","cited_by_count":402},{"id":"1910.12933","title":"Hyperbolic Graph Convolutional Neural Networks","created":"2019-10-28","cited_by_count":402},{"id":"1812.03411","title":"Feature Denoising for Improving Adversarial Robustness","created":"2018-12-09","cited_by_count":314},{"id":"1910.12892","title":"Hyperbolic Graph Neural Networks","created":"2019-10-28","cited_by_count":244},{"id":"1810.00760","title":"Riemannian Adaptive Optimization Methods","created":"2018-10-01","cited_by_count":194},{"id":"1804.01882","title":"Hyperbolic Entailment Cones for Learning Hierarchical Embeddings","created":"2018-04-03","cited_by_count":162},{"id":"2101.04562","title":"Hyperbolic Deep Neural Networks: A Survey","created":"2021-01-12","cited_by_count":139},{"id":"2304.09172","title":"Hyperbolic Image-Text Representations","created":"2023-04-18","cited_by_count":136},{"id":"1901.06033","title":"Continuous Hierarchical Representations with Poincar\\'e Variational Auto-Encoders","created":"2019-01-17","cited_by_count":112},{"id":"2203.10833","title":"Hyperbolic Vision Transformers: Combining Improvements in Metric Learning","created":"2022-03-21","cited_by_count":111},{"id":"2105.14686","title":"Fully Hyperbolic Neural Networks","created":"2021-05-31","cited_by_count":108},{"id":"2203.05898","title":"Hyperbolic Image Segmentation","created":"2022-03-11","cited_by_count":102},{"id":"2203.03818","title":"Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon","created":"2022-03-08","cited_by_count":101},{"id":"2103.08307","title":"Improving Adversarial Robustness via Channel-wise Activation Suppressing","created":"2021-03-11","cited_by_count":76},{"id":"2305.06611","title":"Hyperbolic Deep Learning in Computer Vision: A Survey","created":"2023-05-11","cited_by_count":73},{"id":"1912.03046","title":"Hyperbolic Graph Attention Network","created":"2019-12-06","cited_by_count":70},{"id":"2104.07477","title":"Lorentzian Graph Convolutional Networks","created":"2021-04-15","cited_by_count":68},{"id":"2112.01148","title":"FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis","created":"2021-12-02","cited_by_count":61},{"id":"2107.11472","title":"Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers","created":"2021-07-23","cited_by_count":57},{"id":"2203.01925","title":"Label-Only Model Inversion Attacks via Boundary Repulsion","created":"2022-03-03","cited_by_count":56},{"id":"2104.06942","title":"A Hyperbolic-to-Hyperbolic Graph Convolutional Network","created":"2021-04-14","cited_by_count":53},{"id":"2002.06336","title":"Latent Variable Modelling with Hyperbolic Normalizing Flows","created":"2020-02-15","cited_by_count":49},{"id":"2101.01600","title":"Learning the Predictability of the Future","created":"2021-01-01","cited_by_count":49},{"id":"2303.15919","title":"Fully Hyperbolic Convolutional Neural Networks for Computer Vision","created":"2023-03-28","cited_by_count":49},{"id":"2203.16931","title":"Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond","created":"2022-03-31","cited_by_count":48},{"id":"2004.03459","title":"Hierarchical Image Classification using Entailment Cone Embeddings","created":"2020-04-02","cited_by_count":46},{"id":"2303.06242","title":"HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations","created":"2023-03-10","cited_by_count":44},{"id":"1806.00437","title":"Large-Margin Classification in Hyperbolic Space","created":"2018-06-01","cited_by_count":41},{"id":"2106.14472","title":"Hyperbolic Busemann Learning with Ideal Prototypes","created":"2021-06-28","cited_by_count":41},{"id":"2307.01778","title":"Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling","created":"2023-07-04","cited_by_count":41},{"id":"2104.01257","title":"Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision","created":"2021-04-02","cited_by_count":39},{"id":"2112.07668","title":"Dual-Key Multimodal Backdoors for Visual Question Answering","created":"2021-12-14","cited_by_count":37},{"id":"2303.15818","title":"Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition","created":"2023-03-28","cited_by_count":33},{"id":"2010.16143","title":"HyperText: Endowing FastText with Hyperbolic Geometry","created":"2020-10-30","cited_by_count":28},{"id":"2210.01542","title":"Hyperbolic Deep Reinforcement Learning","created":"2022-10-04","cited_by_count":25},{"id":"2303.14027","title":"Poincar\\'e ResNet","created":"2023-03-24","cited_by_count":25},{"id":"2012.01644","title":"Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations","created":"2020-12-03","cited_by_count":24},{"id":"2205.13412","title":"Physical-World Optical Adversarial Attacks on 3D Face Recognition","created":"2022-05-26","cited_by_count":23},{"id":"2102.05311","title":"CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection","created":"2021-02-10","cited_by_count":21},{"id":"2206.08704","title":"Maximum Class Separation as Inductive Bias in One Matrix","created":"2022-06-17","cited_by_count":21},{"id":"2304.00553","title":"From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding","created":"2023-04-02","cited_by_count":19},{"id":"2306.11180","title":"Hyperbolic Active Learning for Semantic Segmentation under Domain Shift","created":"2023-06-19","cited_by_count":18},{"id":"2303.13846","title":"Feature Separation and Recalibration for Adversarial Robustness","created":"2023-03-24","cited_by_count":16},{"id":"2108.04607","title":"Fully Hyperbolic Graph Convolution Network for Recommendation","created":"2021-08-10","cited_by_count":13},{"id":"2404.05016","title":"Hyperbolic Learning with Synthetic Captions for Open-World Detection","created":"2024-04-07","cited_by_count":12},{"id":"2404.00974","title":"Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping","created":"2024-04-01","cited_by_count":11},{"id":"2308.13279","title":"Hyperbolic Random Forests","created":"2023-08-25","cited_by_count":9},{"id":"2404.03778","title":"Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\\'e Ball","created":"2024-04-04","cited_by_count":9}],"next_cursor":null}