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Studying backdoor attacks is valuable for model copyright protection and enhancing defenses.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Open-sourced dataset protection via backdoor watermarking
Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, and Shu-Tao Xia · 2010
Earlier work this paper cites.
Im2text: Describing images using 1 million captioned photographs
Vicente Ordonez, Girish Kulkarni, and Tamara L. Berg · 2011
Earlier work this paper cites.
Bayes’ rule: a tutorial introduction to bayesian analysis
James V Stone · 2013
Earlier work this paper cites.
Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
Earlier work this paper cites.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
Earlier work this paper cites.
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut · 2018
Earlier work this paper cites.
A new backdoor attack in CNNS by training set corruption without label poisoning
Mauro Barni, Kassem Kallas, and Benedetta Tondi · 2019
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Cross-modal image-text retrieval with semantic consistency
Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, and Jungong Han · 2019
Earlier work this paper cites.
Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
Earlier work this paper cites.
Deepstyle: Multimodal search engine for fashion and interior design
Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, and Krzysztof Marasek · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Large scale incremental learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, and Yun Fu · 2019
Earlier work this paper cites.
UNITER: universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
Earlier work this paper cites.
Backdoor attacks and countermeasures on deep learning: A comprehensive review
Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, and Hyoungshick Kim · 2020
Cited alongside, same era.
Protecting privacy in the era of artificial intelligence
Keyur Tripathi and Usama Mubarak · 2020
Cited alongside, same era.
Deep multimodal neural architecture search
Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, and Qi Tian · 2020
Cited alongside, same era.
Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
Cited alongside, same era.
Wanet - imperceptible warping-based backdoor attack
Tuan Anh Nguyen and Anh Tuan Tran · 2021
Cited alongside, same era.
Uniclip: Unified framework for contrastive language-image pre-training
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, and Junmo Kim · 2022
Later among the works it cites.
Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, and Junjie Yan · 2022
Later among the works it cites.
Harnessing perceptual adversarial patches for crowd counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, and Dacheng Tao · 2022
Later among the works it cites.
Dual-key multimodal backdoors for visual question answering
Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, and Susmit Jha · 2022
Later among the works it cites.
Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning
Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, and Kai-Wei Chang · 2023
Closest in time.
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Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
Dual attention suppression attack: Generate adversarial camouflage in physical world
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, and Xianglong Liu · 2021
Cited alongside, same era.
Contrastive learning for debiased candidate generation in large-scale recommender systems
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, and Hongxia Yang · 2021
Cited alongside, same era.
Image-text retrieval: A survey on recent research and development
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, and Min Zhang · 2022
Cited alongside, same era.
Poisoning and backdooring contrastive learning
Nicholas Carlini and Andreas Terzis · 2022
Cited alongside, same era.
Effective backdoor defense by exploiting sensitivity of poisoned samples
Weixin Chen, Baoyuan Wu, and Haoqian Wang · 2022
Cited alongside, same era.
Cyclip: Cyclic contrastive language-image pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, and Aditya Grover · 2022
Cited alongside, same era.
Detecting backdoors in pre-trained encoders
Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, and Xiangyu Zhang · 2023
Closest in time.
Defending our privacy with backdoors
Dominik Hintersdorf, Lukas Struppek, Daniel Neider, and Kristian Kersting · 2023
Closest in time.
Distribution preserving backdoor attack in self-supervised learning
Guanhong Tao, Zhenting Wang, Shiwei Feng, Guangyu Shen, Shiqing Ma, and Xiangyu Zhang · 2023
Closest in time.
Defending against patch-based backdoor attacks on self-supervised learning
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, and Liang Tan · 2023
Closest in time.
Qiannan Wang, Changchun Yin, Zhe Liu, Liming Fang, Run Wang, and Chenhao Lin · 2023
Closest in time.
RA-CLIP: retrieval augmented contrastive language-image pre-training
Chen-Wei Xie, Siyang Sun, Xiong Xiong, Yun Zheng, Deli Zhao, and Jingren Zhou · 2023
Closest in time.
Data poisoning attacks against multimodal encoders
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, and Yang Zhang · 2023
Closest in time.
Ssl-cleanse: Trojan detection and mitigation in self-supervised learning
Mengxin Zheng, Jiaqi Xue, Xun Chen, Lei Jiang, and Qian Lou · 2023
Closest in time.