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Backdoor Learning: A Survey

17 July 2020

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Papers citing "Backdoor Learning: A Survey"

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Title
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 71 162 0 19 Mar 2020
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 77 72 0 19 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 94 72 0 09 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 52 6 0 03 Mar 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 82 136 0 26 Feb 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao Xinyu Lin Xue Lin AAML 63 49 0 26 Feb 2020
On Hiding Neural Networks Inside Neural Networks Chuan Guo Ruihan Wu Kilian Q. Weinberger 16 6 0 24 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 277 834 0 19 Feb 2020
NNoculation: Catching BadNets in the Wild A. Veldanda Kang Liu Benjamin Tan Prashanth Krishnamurthy Farshad Khorrami Ramesh Karri Brendan Dolan-Gavitt S. Garg AAML OnRL 54 20 0 19 Feb 2020
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks Muhammad Umer Glenn Dawson R. Polikar AAML 24 17 0 17 Feb 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld Ezra Winston Pradeep Ravikumar J. Zico Kolter OOD AAML 59 156 0 07 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 109 225 0 01 Feb 2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 47 103 0 10 Jan 2020
Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu Chulin Xie Yue Liu Qifeng Chen FedML AAML 78 93 0 24 Dec 2019
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 68 389 0 05 Dec 2019
Deep Probabilistic Models to Detect Data Poisoning Attacks Mahesh Subedar Nilesh A. Ahuja R. Krishnan I. Ndiour Omesh Tickoo AAML TDI 45 24 0 03 Dec 2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks Alvin Chan Yew-Soon Ong AAML 57 42 0 19 Nov 2019
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 75 572 0 18 Nov 2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 72 105 0 18 Nov 2019
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy Min Du R. Jia D. Song AAML 72 176 0 16 Nov 2019
Adversarial Defense via Local Flatness Regularization Jia Xu Yiming Li Yong Jiang Shutao Xia AAML 63 17 0 27 Oct 2019
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning Kemal Davaslioglu Y. Sagduyu AAML 38 58 0 23 Oct 2019
Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao Yukun Yang H. Li AAML 49 183 0 10 Oct 2019
Detecting AI Trojans Using Meta Neural Analysis Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Yue Liu 81 323 0 08 Oct 2019
Hidden Trigger Backdoor Attacks Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash 81 624 0 30 Sep 2019
TBT: Targeted Neural Network Attack with Bit Trojan Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 59 214 0 10 Sep 2019
Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization Shaofeng Li Minhui Xue Benjamin Zi Hao Zhao Haojin Zhu Dali Kaafar 51 60 0 06 Sep 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems Bao Gia Doan Ehsan Abbasnejad Damith C. Ranasinghe AAML 47 66 0 09 Aug 2019
Model Agnostic Defence against Backdoor Attacks in Machine Learning Sakshi Udeshi Shanshan Peng Gerald Woo Lionell Loh Louth Rawshan Sudipta Chattopadhyay AAML 46 104 0 06 Aug 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du D. Song 71 229 0 02 Aug 2019
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection Di Tang Xiaofeng Wang Haixu Tang Kehuan Zhang AAML 61 201 0 02 Aug 2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs Soheil Kolouri Aniruddha Saha Hamed Pirsiavash Heiko Hoffmann AAML 60 234 0 26 Jun 2019
Mimic and Fool: A Task Agnostic Adversarial Attack Akshay Chaturvedi Utpal Garain AAML 47 27 0 11 Jun 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 87 152 0 31 May 2019
A backdoor attack against LSTM-based text classification systems Jiazhu Dai Chuanshuai Chen SILM 81 329 0 29 May 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 107 569 0 18 Apr 2019
Gotta Catch Ém All: Using Honeypots to Catch Adversarial Attacks on Neural Networks Shawn Shan Emily Wenger Bolun Wang Yangqiu Song Haitao Zheng Ben Y. Zhao 67 73 0 18 Apr 2019
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition Yinpeng Dong Hang Su Baoyuan Wu Zhifeng Li Wen Liu Tong Zhang Jun Zhu CVBM AAML 77 407 0 09 Apr 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 49 52 0 01 Mar 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Yansong Gao Chang Xu Derui Wang Shiping Chen Damith C. Ranasinghe Surya Nepal AAML 77 809 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 152 2,039 0 08 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 137 2,551 0 24 Jan 2019
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing Jingyi Wang Guoliang Dong Jun Sun Xinyu Wang Peixin Zhang AAML 43 191 0 14 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 71 120 0 07 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 219 292 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 280 1,054 0 29 Nov 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 89 796 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 91 789 0 01 Nov 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 87 313 0 30 Aug 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,913 0 02 Jul 2018