Backdoor Learning: A Survey

17 July 2020

Papers citing "Backdoor Learning: A Survey"

50 / 170 papers shown

Title
Backdoor Attack in the Physical World Yiming Li Tongqing Zhai Yong Jiang Zhifeng Li Shutao Xia 60 112 0 06 Apr 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li Zhirui Chen Yue Zhao Zekun Tong Yabang Zhao A. Lim Qiufeng Wang 3DPC AAML 127 53 0 30 Mar 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models Wenkai Yang Lei Li Zhiyuan Zhang Xuancheng Ren Xu Sun Bin He SILM 89 153 0 29 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 70 113 0 24 Mar 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing Yang Bai Yuyuan Zeng Yong Jiang Shutao Xia Xingjun Ma Yisen Wang AAML 64 131 0 11 Mar 2021
Hidden Backdoor Attack against Semantic Segmentation Models Yiming Li Yanjie Li Yalei Lv Yong Jiang Shutao Xia AAML 335 31 0 06 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen Yingqi Liu Guanhong Tao Shengwei An Qiuling Xu Shuyang Cheng Shiqing Ma Xinming Zhang AAML 97 118 0 09 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 134 228 0 27 Jan 2021
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Shihao Zhao Xingjun Ma Yisen Wang James Bailey Yue Liu Yu-Gang Jiang AAML 40 15 0 18 Jan 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yan Liang Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 106 79 0 18 Jan 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li Lingjuan Lyu Nodens Koren X. Lyu Yue Liu Xingjun Ma AAML FedML 83 436 0 15 Jan 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 74 157 0 21 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song Aleksander Madry Yue Liu Tom Goldstein SILM 90 281 0 18 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 70 191 0 13 Dec 2020
Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li Yiming Li Baoyuan Wu Longkang Li Ran He Siwei Lyu AAML DiffM 85 483 0 07 Dec 2020
Backdoor Attacks on the DNN Interpretation System Shihong Fang A. Choromańska FAtt AAML 40 19 0 21 Nov 2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff Eitan Borgnia Valeriia Cherepanova Liam H. Fowl Amin Ghiasi Jonas Geiping Micah Goldblum Tom Goldstein Arjun Gupta AAML 59 127 0 18 Nov 2020
Backdoor Attack against Speaker Verification Tongqing Zhai Yiming Li Zi-Mou Zhang Baoyuan Wu Yong Jiang Shutao Xia AAML 76 102 0 22 Oct 2020
Input-Aware Dynamic Backdoor Attack A. Nguyen Anh Tran AAML 71 431 0 16 Oct 2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture H. Desai Mustafa Safa Ozdayi Murat Kantarcioglu FedML 108 61 0 14 Oct 2020
Open-sourced Dataset Protection via Backdoor Watermarking Yiming Li Zi-Mou Zhang Jiawang Bai Baoyuan Wu Yong Jiang Shutao Xia 36 41 0 12 Oct 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 79 97 0 22 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 87 219 0 04 Sep 2020
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks Mojan Javaheripi Mohammad Samragh Gregory Fields T. Javidi F. Koushanfar AAML FedML 50 42 0 04 Sep 2020
One-pixel Signature: Characterizing CNN Models for Backdoor Detection Shanjiaoyang Huang Weiqi Peng Zhiwei Jia Zhuowen Tu 44 63 0 18 Aug 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong SILM 48 131 0 11 Aug 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 99 88 0 04 Aug 2020
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data Xuankai Liu Fengting Li Bihan Wen Qi Li AAML 56 61 0 02 Aug 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 118 148 0 31 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 93 229 0 21 Jul 2020
Deep Learning Backdoors Shaofeng Li Shiqing Ma Minhui Xue Benjamin Zi Hao Zhao 135 36 0 16 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 79 606 0 09 Jul 2020
Defending against Backdoors in Federated Learning with Robust Learning Rate Mustafa Safa Ozdayi Murat Kantarcioglu Yulia R. Gel FedML 56 169 0 07 Jul 2020
Backdoor attacks and defenses in feature-partitioned collaborative learning Yang Liu Zhi-qian Yi Tianjian Chen AAML FedML 53 48 0 07 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 93 513 0 05 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 79 38 0 01 Jul 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 58 145 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 67 200 0 25 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 55 171 0 21 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 61 216 0 19 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 57 188 0 15 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 49 32 0 12 Jun 2020
Scalable Backdoor Detection in Neural Networks Haripriya Harikumar Vuong Le Santu Rana Sourangshu Bhattacharya Sunil R. Gupta Svetha Venkatesh 98 24 0 10 Jun 2020
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements Xiaoyi Chen A. Salem Dingfan Chen Michael Backes Shiqing Ma Qingni Shen Zhonghai Wu Yang Zhang SILM 71 238 0 01 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 105 304 0 08 May 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness Pu Zhao Pin-Yu Chen Payel Das Karthikeyan N. Ramamurthy Xue Lin AAML 116 188 0 30 Apr 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks William Aiken Hyoungshick Kim Simon S. Woo 30 64 0 22 Apr 2020
Targeted Attack for Deep Hashing based Retrieval Jiawang Bai Bin Chen Yiming Li Dongxian Wu Weiwei Guo Shutao Xia En-Hui Yang AAML 97 85 0 15 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 134 451 0 14 Apr 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong Jiang Zhifeng Li Shutao Xia LLMSV 60 150 0 09 Apr 2020