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In recent years, there has been significant research focusing on addressing security concerns in single-modal person re-identification (ReID) systems that are based on RGB images.
Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
Earlier work this paper cites.
Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2016
Earlier work this paper cites.
Person re-identification: Past, present and future
Liang Zheng, Yi Yang, and Alexander G Hauptmann · 2016
Earlier work this paper cites.
Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Person recognition system based on a combination of body images from visible light and thermal cameras
Dat Tien Nguyen, Hyung Gil Hong, Ki Wan Kim, and Kang Ryoung Park · 2017
Earlier work this paper cites.
Rgb-infrared cross-modality person re-identification
Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, and Jianhuang Lai · 2017
Earlier work this paper cites.
Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
Earlier work this paper cites.
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2017
Earlier work this paper cites.
In defense of the triplet loss for person re-identification
Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017
Earlier work this paper cites.
Camera style adaptation for person re-identification
Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, and Yi Yang · 2018
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Earlier work this paper cites.
Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
Earlier work this paper cites.
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, and Shengjin Wang · 2018
Earlier work this paper cites.
Universal perturbation attack against image retrieval
Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, and Qi Tian · 2019
Earlier work this paper cites.
Functional adversarial attacks
Cassidy Laidlaw and Soheil Feizi · 2019
Earlier work this paper cites.
Learning to reduce dual-level discrepancy for infrared-visible person re-identification
Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, and Shin’ichi Satoh · 2019
Cited alongside, same era.
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, and Jiebo Luo · 2020
Cited alongside, same era.
Adversarial metric attack and defense for person re-identification
Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, and Philip HS Torr · 2020
Cited alongside, same era.
Vulnerability of person re-identification models to metric adversarial attacks
Quentin Bouniot, Romaric Audigier, and Angelique Loesch · 2020
Cited alongside, same era.
Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking
Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, and Liang Lin · 2020
Cited alongside, same era.
Dual pseudo-labels interactive self-training for semi-supervised visible-infrared person re-identification
Jiangming Shi, Yachao Zhang, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, Zhongchao Shi, and Yanyun Qu · 2023
Later among the works it cites.
Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared person re-identification
Yukang Zhang and Hanzi Wang · 2023
Later among the works it cites.
U-turn: Crafting adversarial queries with opposite-direction features
Zhedong Zheng, Liang Zheng, Yi Yang, and Fei Wu · 2023
Later among the works it cites.
Towards robust person re-identification by defending against universal attackers
Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin’ichi Satoh, and Nicu Sebe · 2023
Later among the works it cites.
Towards a robust deep neural network against adversarial texts: A survey
Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, and Aoshuang Ye · 2023
Later among the works it cites.
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Learning to adapt invariance in memory for person re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang · 2021
Cited alongside, same era.
Yunpeng Gong, Liqing Huang, and Lifei Chen · 2021
Cited alongside, same era.
Towards query-efficient adversarial attacks against automatic speech recognition systems
Qian Wang, Baolin Zheng, Qi Li, Chao Shen, and Zhongjie Ba · 2021
Cited alongside, same era.
Dynamic prototype mask for occluded person re-identification
Lei Tan, Pingyang Dai, Rongrong Ji, and Yongjian Wu · 2022
Cited alongside, same era.
Deep learning for person re-identification: A survey and outlook
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven CH Hoi · 2022
Cited alongside, same era.
Person re-identification method based on color attack and joint defence
Yunpeng Gong, Liqing Huang, and Lifei Chen · 2022
Cited alongside, same era.
X-clip: End-to-end multi-grained contrastive learning for video-text retrieval
Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, and Rongrong Ji · 2022
Cited alongside, same era.
Shallow-deep collaborative learning for unsupervised visible-infrared person re-identification
Bin Yang, Jun Chen, and Mang Ye · 2024
Closest in time.
Ufinebench: Towards text-based person retrieval with ultra-fine granularity
Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, and Changxin Gao · 2024
Closest in time.
Exploring color invariance through image-level ensemble learning
Yunpeng Gong, Jiaquan Li, Lifei Chen, and Min Jiang · 2024
Closest in time.
3d-stmn: Dependency-driven superpoint-text matching network for end-to-end 3d referring expression segmentation
Changli Wu, Yiwei Ma, Qi Chen, Haowei Wang, Gen Luo, Jiayi Ji, and Xiaoshuai Sun · 2024
Closest in time.
Beyond augmentation: Empowering model robustness under extreme capture environments
Yunpeng Gong, Yongjie Hou, Chuangliang Zhang, and Min Jiang · 2024
Closest in time.
Occluded person re-identification via saliency-guided patch transfer
Lei Tan, Jiaer Xia, Wenfeng Liu, Pingyang Dai, Yongjian Wu, and Liujuan Cao · 2024
Closest in time.
Jiangming Shi, Xiangbo Yin, Zhizhong Zhang, Yachao and Zhang, Yuan Xie, and Yanyun Qu · 2024
Closest in time.
Xiangbo Yin, Jiangming Shi, Yachao Zhang, Yang Lu, Zhizhong Zhang, Yuan Xie, and Yanyun Qu · 2024
Closest in time.
Controlmllm: Training-free visual prompt learning for multimodal large language models
Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, and Rongrong Ji · 2024
Closest in time.
Adversarial learning for neural pde solvers with sparse data
Yunpeng Gong, Yongjie Hou, Zhenzhong Wang, Zexin Lin, and Min Jiang · 2024
Closest in time.