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The prosperity of deep neural networks (DNNs) is largely benefited from open-source datasets, based on which users can evaluate and improve their methods.
The md5 message-digest algorithm
Ronald Rivest · 1992
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Some pac-bayesian theorems
David A McAllester · 1998
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Hidden digital watermarks in images
Chiou-Ting Hsu and Ja-Ling Wu · 1999
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Identity-based encryption from the weil pairing
Dan Boneh and Matt Franklin · 2001
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Hiding digital watermarks using multiresolution wavelet transform
Ming-Shing Hsieh, Din-Chang Tseng, and Yong-Huai Huang · 2001
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Pac-bayes bounds for the risk of the majority vote and the variance of the gibbs classifier
Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, and Nicolas Usunier · 2006
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Large-scale machine learning with stochastic gradient descent
Léon Bottou · 2010
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An analysis of single-layer networks in unsupervised feature learning
Adam Coates, Andrew Ng, and Honglak Lee · 2011
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Introduction to mathematical statistics
Leopold Schmetterer · 2012
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Rényi divergence and kullback-leibler divergence
Tim Van Erven and Peter Harremos · 2014
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Tiny imagenet visual recognition challenge
Ya Le and Xuan Yang · 2015
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Risk bounds for the majority vote: From a pac-bayesian analysis to a learning algorithm
Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario March, and Jean-Francis Roy · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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A new pac-bayesian perspective on domain adaptation
Pascal Germain, Amaury Habrard, François Laviolette, and Emilie Morvant · 2016
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A survey on fully homomorphic encryption: An engineering perspective
Paulo Martins, Leonel Sousa, and Artur Mariano · 2017
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Membership inference attacks against machine learning models
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov · 2017
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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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Neural trojans
Yuntao Liu, Yang Xie, and Ankur Srivastava · 2017
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Halftone image watermarking by content aware double-sided embedding error diffusion
Yuanfang Guo, Oscar C Au, Rui Wang, Lu Fang, and Xiaochun Cao · 2018
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Deep leakage from gradients
Ligeng Zhu, Zhijian Liu, and Song Han · 2019
Cited alongside, same era.
Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Identity-based encryption transformation for flexible sharing of encrypted data in public cloud
Hua Deng, Zheng Qin, Qianhong Wu, Zhenyu Guan, Robert H Deng, Yujue Wang, and Yunya Zhou · 2020
Cited alongside, same era.
Joint watermarking-encryption-jpeg-ls for medical image reliability control in encrypted and compressed domains
Sahar Haddad, Gouenou Coatrieux, Alexandre Moreau-Gaudry, and Michel Cozic · 2020
Cited alongside, same era.
Input-aware dynamic backdoor attack
Non-transferable learning: A new approach for model ownership verification and applicability authorization
Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, and Qi Zhu · 2022
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Multinomial random forest
Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, and Shu-Tao Xia · 2022
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Deepmih: Deep invertible network for multiple image hiding
Zhenyu Guan, Junpeng Jing, Xin Deng, Mai Xu, Lai Jiang, Zhou Zhang, and Yipeng Li · 2022
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Backdoor learning: A survey
Yiming Li, Yong Jiang, Zhifeng Li, and Shu-Tao Xia · 2022
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Few-shot backdoor attacks on visual object tracking
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, and Shu-Tao Xia · 2022
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Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch
Hossein Souri, Liam H Fowl, Rama Chellappa, Micah Goldblum, and Tom Goldstein · 2022
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Tuan Anh Nguyen and Anh Tran · 2020
Cited alongside, same era.
Adgan: Protect your location privacy in camera data of auto-driving vehicles
Zuobin Xiong, Zhipeng Cai, Qilong Han, Arwa Alrawais, and Wei Li · 2020
Cited alongside, same era.
Club: A contrastive log-ratio upper bound of mutual information
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, and Lawrence Carin · 2020
Cited alongside, same era.
Practical poisoning attacks on neural networks
Junfeng Guo and Cong Liu · 2020
Cited alongside, same era.
Faketagger: Robust safeguards against deepfake dissemination via provenance tracking
Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, and Lina Wang · 2021
Cited alongside, same era.
{ \{ mID } \} : Tracing screen photos via { \{ Moiré } \} patterns
Yushi Cheng, Xiaoyu Ji, Lixu Wang, Qi Pang, Yi-Chao Chen, and Wenyuan Xu · 2021
Cited alongside, same era.
Wanet–imperceptible warping-based backdoor attack
Anh Nguyen and Anh Tran · 2021
Cited alongside, same era.
Later among the works it cites.
Domain adaptation via maximizing surrogate mutual information
Haiteng Zhao, Chang Ma, Qinyu Chen, and Zhi-Hong Deng · 2022
Later among the works it cites.
Neural mean discrepancy for efficient out-of-distribution detection
Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, and HT Kung · 2022
Later among the works it cites.
Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch
Hossein Souri, Micah Goldblum, Liam Fowl, Rama Chellappa, and Tom Goldstein · 2022
Later among the works it cites.
Aeva: Black-box backdoor detection using adversarial extreme value analysis
Junfeng Guo, Ang Li, and Cong Liu · 2022
Later among the works it cites.
Backdoor defense via decoupling the training process
Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, and Kui Ren · 2022
Later among the works it cites.
Black-box dataset ownership verification via backdoor watermarking
Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, and Shu-Tao Xia · 2023
Closest in time.
Did you train on my dataset? towards public dataset protection with clean-label backdoor watermarking
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, and Xia Hu · 2023
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Few-shot backdoor attacks via neural tangent kernels
Jonathan Hayase and Sewoong Oh · 2023
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One-bit flip is all you need: When bit-flip attack meets model training
Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, 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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Masterkey: Practical backdoor attack against speaker verification systems
Hanqing Guo, Xun Chen, Junfeng Guo, Li Xiao, and Qiben Yan · 2023
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Not all samples are born equal: Towards effective clean-label backdoor attacks
Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, and Shu-Tao Xia · 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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Deja vu: Continual model generalization for unseen domains
Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, and Qi Zhu · 2023
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SCALE-UP: An efficient black-box input-level backdoor detection via analyzing scaled prediction consistency
Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, and Cong Liu · 2023
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Policycleanse: Backdoor detection and mitigation for competitive reinforcement learning
Junfeng Guo, Ang Li, Lixu Wang, and Cong Liu · 2023
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Towards a defense against federated backdoor attacks under continuous training
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, and Sewoong Oh · 2023
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