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Neural backdoors represent one primary threat to the security of deep learning systems.
ImageNet: A Large-scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Learning Multiple Layers of Features from Tiny Images
Alex Krizhevsky and Geoffrey Hinton · 2009
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Poisoning Adaptive Biometric Systems
Battista Biggio, Giorgio Fumera, Fabio Roli, and Luca Didaci · 2012
Earlier work this paper cites.
Man vs. Computer: Benchmarking Machine Learning Algorithms for Traffic Sign Recognition
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel · 2012
Earlier work this paper cites.
Meet AISight: The scary CCTV network completely run by AI
Paul Cooper · 2014
Earlier work this paper cites.
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2014
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How Transferable Are Features in Deep Neural Networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
Earlier work this paper cites.
Hidden Technical Debt in Machine Learning Systems
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-Francois Crespo, and Dan Dennison · 2015
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Researchers Hack Into Driverless Car System, Take Control of Vehicle
Allyson Versprille · 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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Model zoo
BVLC · 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
Earlier work this paper cites.
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun · 2017
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Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C Fong and Andrea Vedaldi · 2017
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BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
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MagNet: A Two-Pronged Defense Against Adversarial Examples
Dongyu Meng and Hao Chen · 2017
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Analysis of Universal Adversarial Perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, and Stefano Soatto · 2017
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
R. R. Selvaraju, M. Cogswell, A. Das, R. Vedantam, D. Parikh, and D. Batra · 2017
Earlier work this paper cites.
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei Koh, and Percy Liang · 2017
Earlier work this paper cites.
Vggface2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman · 2018
Earlier work this paper cites.
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, and Biplav Srivastava · 2018
Earlier work this paper cites.
SentiNet: Detecting Physical Attacks Against Deep Learning Systems
Edward Chou, Florian Tramer, Giancarlo Pellegrino, and Dan Boneh · 2018
Cited alongside, same era.
LEMNA: Explaining Deep Learning Based Security Applications
Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, and Xinyu Xing · 2018
Cited alongside, same era.
Model-Reuse Attacks on Deep Learning Systems
Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, and Ting Wang · 2018
Cited alongside, same era.
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2018
Cited alongside, same era.
Trojaning attack on neural networks
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang · 2018
Cited alongside, same era.
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Latent Backdoor Attacks on Deep Neural Networks
Yuanshun Yao, Huiying Li, Haitao Zheng, and Ben Y. Zhao · 2019
Later among the works it cites.
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, and Tom Goldstein · 2019
Later among the works it cites.
How To Backdoor Federated Learning
Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, and Vitaly Shmatikov · 2020
Closest in time.
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Paul Michel, and Graham Neubig · 2020
Closest in time.
Bypassing Backdoor Detection Algorithms in Deep Learning
Te Lester Juin Tan and Reza Shokri · 2020
Closest in time.
Backdoor Learning: A Survey
Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, and Shu-Tao Xia · 2020
Closest in time.
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Cited alongside, same era.
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein · 2018
Cited alongside, same era.
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu, Radu Mărginean, Yiğitcan Kaya, Hal Daumé, III, and Tudor Dumitraş · 2018
Cited alongside, same era.
Attacks Meet Interpretability: Attribute-Steered Detection of Adversarial Samples
Guanhong Tao, Shiqing Ma, Yingqi Liu, and Xiangyu Zhang · 2018
Cited alongside, same era.
Spectral Signatures in Backdoor Attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
Cited alongside, same era.
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
W. Xu, D. Evans, and Y. Qi · 2018
Cited alongside, same era.
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
Huili Chen, Cheng Fu, Jishen Zhao, and Farinaz Koushanfar · 2019
Cited alongside, same era.
Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features
Junyu Lin, Lei Xu, Yingqi Liu, and Xiangyu Zhang · 2020
Closest in time.
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu, Xingjun Ma, James Bailey, and Feng Lu · 2020
Closest in time.
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex Liu, and Ting Wang · 2020
Closest in time.
Dynamic Backdoor Attacks Against Machine Learning Models
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, and Yang Zhang · 2020
Closest in time.
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Roei Schuster, Tal Schuster, Yoav Meri, and Vitaly Shmatikov · 2020
Closest in time.
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu · 2020
Closest in time.
RAB: Provable Robustness Against Backdoor Attacks
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li · 2020
Closest in time.
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, and Xingjun Ma · 2020
Closest in time.
DBA: Distributed Backdoor Attacks against Federated Learning
Chulin Xie, Keli Huang, Pin-Yu Chen, and Bo Li · 2020
Closest in time.
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, and Bo Li · 2020
Closest in time.
Disabling Backdoor and Identifying Poison Data by Using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks
Kota Yoshida and Takeshi Fujino · 2020
Closest in time.
Interpretable Deep Learning under Fire
Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, and Ting Wang · 2020
Closest in time.
Trojaning Language Models for Fun and Profit
Xinyang Zhang, Zheng Zhang, and Ting Wang · 2020
Closest in time.
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan and Vitaly Shmatikov · 2021
Closest in time.
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
Closest in time.
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
Giorgio Severi, Jim Meyer, Scott Coull, and Alina Oprea · 2021
Closest in time.
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
Di Tang, XiaoFeng Wang, Haixu Tang, and Kehuan Zhang · 2021
Closest in time.