Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

15 December 2017

Papers citing "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning"

50 / 351 papers shown

Title
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 83 1 0 14 Sep 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 39 7 0 12 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 43 13 0 08 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 45 14 0 07 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 64 16 0 07 Sep 2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef) Guanxiong Liu Abdallah Khreishah Fatima Sharadgah Issa M. Khalil AAML 21 8 0 05 Sep 2022
SNAP: Efficient Extraction of Private Properties with Poisoning Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan R. Ullman MIACV 34 30 0 25 Aug 2022
A simplified convergence theory for Byzantine resilient stochastic gradient descent Lindon Roberts E. Smyth 28 3 0 25 Aug 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying-Cong Chen Bo Yuan AAML 32 6 0 22 Aug 2022
An anomaly detection approach for backdoored neural networks: face recognition as a case study A. Unnervik S´ebastien Marcel AAML 29 4 0 22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 36 13 0 21 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models Yulong Wang Minghui Zhao Shenghong Li Xinnan Yuan W. Ni 18 15 0 19 Aug 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks Tianwei Liu Yu Yang Baharan Mirzasoleiman AAML 30 27 0 14 Aug 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons Mingyuan Fan Yang Liu Cen Chen Ximeng Liu Wenzhong Guo AAML 21 4 0 13 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning Tianxing Zhang Hanzhou Wu Xiaofeng Lu Guangling Sun AAML 27 4 0 08 Aug 2022
Data-free Backdoor Removal based on Channel Lipschitzness Runkai Zheng Rong Tang Jianze Li Li Liu AAML 21 104 0 05 Aug 2022
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature Repair Hui Xia Xiugui Yang X. Qian Rui Zhang AAML 32 0 0 26 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 34 32 0 11 Jul 2022
Defense Against Multi-target Trojan Attacks Haripriya Harikumar Santu Rana Kien Do Sunil R. Gupta W. Zong Willy Susilo Svetha Venkatesh AAML 16 3 0 08 Jul 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li AAML FedML MedIm 39 12 0 02 Jul 2022
Natural Backdoor Datasets Emily Wenger Roma Bhattacharjee A. Bhagoji Josephine Passananti Emilio Andere Haitao Zheng Ben Y. Zhao AAML 33 4 0 21 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors Guanhong Tao Yingqi Liu Shuyang Cheng Shengwei An Zhuo Zhang Qiuling Xu Guangyu Shen Xiangyu Zhang AAML 26 7 0 18 Jun 2022
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 21 16 0 16 Jun 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 38 130 0 12 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 29 2 0 08 Jun 2022
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection Wei Guo B. Tondi Mauro Barni AAML 8 13 0 02 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
BadDet: Backdoor Attacks on Object Detection Shih-Han Chan Yinpeng Dong Junyi Zhu Xiaolu Zhang Jun Zhou AAML 24 56 0 28 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 67 46 0 25 May 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification Lesheng Jin Zihan Wang Jingbo Shang AAML 29 14 0 24 May 2022
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution Zhixin Pan Prabhat Mishra AAML 15 4 0 18 May 2022
Verifying Neural Networks Against Backdoor Attacks Long H. Pham Jun Sun AAML 26 5 0 14 May 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 16 5 0 20 Apr 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 43 24 0 19 Apr 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 21 88 0 11 Apr 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 37 15 0 22 Mar 2022
Robustly-reliable learners under poisoning attacks Maria-Florina Balcan Avrim Blum Steve Hanneke Dravyansh Sharma AAML OOD 26 14 0 08 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 32 6 0 07 Mar 2022
Dynamic Backdoors with Global Average Pooling Stefanos Koffas S. Picek Mauro Conti AAML 16 8 0 04 Mar 2022
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving Xingshuo Han Guowen Xu Yuanpu Zhou Xuehuan Yang Jiwei Li Tianwei Zhang AAML 30 43 0 02 Mar 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 32 22 0 22 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 18 33 0 11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 25 0 10 Feb 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection Yuxi Mi Yiheng Sun Jihong Guan Shuigeng Zhou AAML FedML 13 1 0 09 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 23 2 0 07 Feb 2022