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Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries embed a hidden backdoor trigger during the training process for malicious prediction manipulation.
Frame synchronization and multi-level subspace analysis for video based face recognition
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Learning compact feature descriptor and adaptive matching framework for face recognition
Zhifeng Li, Dihong Gong, Xuelong Li, and Dacheng Tao · 2015
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Imagenet large scale visual recognition challenge
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 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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Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2017
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Neural tangent kernel: Convergence and generalization in neural networks
Arthur Jacot, Franck Gabriel, and Clement Hongler · 2018
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A simple unified framework for detecting out-of-distribution samples and adversarial attacks
Kimin Lee, Kibok Lee, Honglak Lee, and Jinwoo Shin · 2018
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Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2019
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Label-consistent backdoor attacks
Alexander Turner, Dimitris Tsipras, and Aleksander Madry · 2019
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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
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Object detection with deep learning: A review
Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, and Xindong Wu · 2019
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Object detection in 20 years: A survey
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, and Jieping Ye · 2019
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Robust anomaly detection and backdoor attack detection via differential privacy
Min Du, Ruoxi Jia, and Dawn Song · 2020
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A survey of deep learning techniques for autonomous driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias, and Gigel Macesanu · 2020
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One-pixel signature: Characterizing cnn models for backdoor detection
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, and Zhuowen Tu · 2020
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Physgan: Generating physical-world-resilient adversarial examples for autonomous driving
Zelun Kong, Junfeng Guo, Ang Li, and Cong Liu · 2020
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Federated class-incremental learning
Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, and Qi Zhu · 2022
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Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, and Tom Goldstein · 2022
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Trigger hunting with a topological prior for trojan detection
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, and Chao Chen · 2022
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Backdoor defense via decoupling the training process
Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, and Kui Ren · 2022
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Complex backdoor detection by symmetric feature differencing
Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, and Xiangyu Zhang · 2022
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Better trigger inversion optimization in backdoor scanning
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Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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Black-box detection of backdoor attacks with limited information and data
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, and Jun Zhu · 2021
Cited alongside, same era.
Design and evaluation of a multi-domain trojan detection method on deep neural networks
Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C Ranasinghe, and Hyoungshick Kim · 2021
Cited alongside, same era.
Wanet - imperceptible warping-based backdoor attack
Tuan Anh Nguyen and Anh Tuan Tran · 2021
Cited alongside, same era.
Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
Han Qiu, Yi Zeng, Shangwei Guo, Tianwei Zhang, Meikang Qiu, and Bhavani Thuraisingham · 2021
Cited alongside, same era.
Salient object detection in the deep learning era: An in-depth survey
Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, and Ruigang Yang · 2021
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Adversarial neuron pruning purifies backdoored deep models
Dongxian Wu and Yisen Wang · 2021
Cited alongside, same era.
Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, and Xiangyu Zhang · 2022
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Maxvit: Multi-axis vision transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Deep learning-based perception systems for autonomous driving: A comprehensive survey
Li-Hua Wen and Kang-Hyun Jo · 2022
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Eliminating backdoor triggers for deep neural networks using attention relation graph distillation
Jun Xia, Ting Wang, Jieping Ding, Xian Wei, and Mingsong Chen · 2022
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Post-training detection of backdoor attacks for two-class and multi-attack scenarios
Zhen Xiang, David J Miller, and George Kesidis · 2022
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Adversarial unlearning of backdoors via implicit hypergradient
Yi Zeng, Si Chen, Won Park, Z Morley Mao, Ming Jin, and Ruoxi Jia · 2022
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Few-shot backdoor attacks via neural tangent kernels
Jonathan Hayase and Sewoong Oh · 2023
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BackdoorBox: A python toolbox for backdoor learning
Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, and Shu-Tao Xia · 2023
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Revisiting the assumption of latent separability for backdoor defenses
Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, and Prateek Mittal · 2023
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