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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

1 April 2018

Battista Biggio

Papers citing "Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning"

50 / 318 papers shown

Title
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 97 8 0 16 Mar 2021
Quantitative robustness of instance ranking problems Tino Werner 52 2 0 12 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling Md. Shohidul Islam Ihsen Alouani Khaled N. Khasawneh AAML 41 1 0 11 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 66 33 0 02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook Eren Kurshan Honda Shen Haojie Yu GNN FaML 89 29 0 02 Mar 2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models Liuqiao Chen Hu Wang Benjamin Zi Hao Zhao Minhui Xue Hai-feng Qian PICV 60 4 0 23 Feb 2021
Data Poisoning Attacks and Defenses to Crowdsourcing Systems Minghong Fang Minghao Sun Qi Li Neil Zhenqiang Gong Jinhua Tian Jia-Wei Liu 111 36 0 18 Feb 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu Chuan Guo Felix Wu Rahul Kidambi Laurens van der Maaten Kilian Q. Weinberger AAML 80 24 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 67 52 0 09 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 92 53 0 08 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation Zhuosheng Zhang Jiarui Li Shucheng Yu C. Makaya FedML 53 23 0 04 Feb 2021
Machine learning pipeline for battery state of health estimation D. Roman Saurabh Saxena Valentin Robu Michael G. Pecht David Flynn 60 392 0 01 Feb 2021
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization Kang Wei Jun Li Ming Ding Chuan Ma Yo-Seb Jeon H. Vincent Poor FedML 57 8 0 28 Jan 2021
Adversarial Vulnerability of Active Transfer Learning Nicolas Müller Konstantin Böttinger AAML 18 0 0 26 Jan 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 101 39 0 24 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 165 283 0 18 Dec 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios Hassan Ali Surya Nepal S. Kanhere S. Jha AAML 62 13 0 14 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Lizhen Qu Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 88 6 0 08 Dec 2020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 115 75 0 07 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 331 380 0 07 Dec 2020
PAC-Learning for Strategic Classification Ravi Sundaram A. Vullikanti Haifeng Xu Fan Yao AAML 108 44 0 06 Dec 2020
How Robust are Randomized Smoothing based Defenses to Data Poisoning? Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD AAML 117 32 0 02 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 71 409 0 18 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 67 9 0 10 Nov 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 75 141 0 04 Nov 2020
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications Thippa Reddy Gadekallu Manoj M K Sivarama Krishnan S Neeraj Kumar S. Hakak S. Bhattacharya OOD 66 54 0 03 Nov 2020
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes Jinyuan Jia Binghui Wang Neil Zhenqiang Gong AAML 79 5 0 26 Oct 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 70 7 0 17 Oct 2020
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models A. Salem Yannick Sautter Michael Backes Mathias Humbert Yang Zhang AAML SILM AI4CE 59 40 0 06 Oct 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 118 33 0 23 Sep 2020
Data Poisoning Attacks on Regression Learning and Corresponding Defenses Nicolas Müller Daniel Kowatsch Konstantin Böttinger AAML 52 19 0 15 Sep 2020
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing William J. Buchanan Muhammad Ali Imran M. Rehman Lei Zhang Q. Abbasi C. Chrysoulas D. Haynes Nikolaos Pitropakis Pavlos Papadopoulos 51 14 0 10 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 126 153 0 08 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 94 67 0 08 Sep 2020
Defending Regression Learners Against Poisoning Attacks Sandamal Weerasinghe S. Erfani T. Alpcan C. Leckie Justin Kopacz AAML 32 0 0 21 Aug 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong SILM 110 135 0 11 Aug 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 69 19 0 01 Aug 2020
Towards Class-Oriented Poisoning Attacks Against Neural Networks Bingyin Zhao Yingjie Lao SILM AAML 26 18 0 31 Jul 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 95 36 0 29 Jul 2020
AI Data poisoning attack: Manipulating game AI of Go Junli Shen Maocai Xia AAML 72 3 0 23 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 131 235 0 21 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 128 671 0 16 Jul 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 144 160 0 05 Jul 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 115 122 0 24 Jun 2020
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models Jialin Wen Benjamin Zi Hao Zhao Minhui Xue Alina Oprea Hai-feng Qian AAML 70 20 0 21 Jun 2020
On Adversarial Bias and the Robustness of Fair Machine Learning Hong Chang Ta Duy Nguyen S. K. Murakonda Ehsan Kazemi Reza Shokri FaML OOD FedML 68 51 0 15 Jun 2020
Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach Hu Ding Fan Yang Jiawei Huang AAML 60 0 0 14 Jun 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 86 139 0 05 Jun 2020
VerifyTL: Secure and Verifiable Collaborative Transfer Learning Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu Wei Zheng K. Choo R. Deng AAML 43 3 0 18 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 167 311 0 08 May 2020