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Label Sanitization against Label Flipping Poisoning Attacks

2 March 2018

Papers citing "Label Sanitization against Label Flipping Poisoning Attacks"

22 / 72 papers shown

Title
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers Xi Li David J. Miller Zhen Xiang G. Kesidis AAML 38 0 0 28 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 72 88 0 08 May 2021
Influence Based Defense Against Data Poisoning Attacks in Online Learning Sanjay Seetharaman Shubham Malaviya KV Rosni Manish Shukla S. Lodha TDI AAML 114 9 0 24 Apr 2021
Defending Against Adversarial Denial-of-Service Data Poisoning Attacks Nicolas Müller Simon Roschmann Konstantin Böttinger AAML 54 0 0 14 Apr 2021
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
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations Eitan Borgnia Jonas Geiping Valeriia Cherepanova Liam H. Fowl Arjun Gupta Amin Ghiasi Furong Huang Micah Goldblum Tom Goldstein 106 46 0 02 Mar 2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning Hemant Rathore S. K. Sahay Piyush Nikam Mohit Sewak AAML 95 62 0 27 Jan 2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks Jing Lin R. Luley Kaiqi Xiong AAML 83 8 0 01 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 144 283 0 18 Dec 2020
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers Adriano Franci Maxime Cordy Martin Gubri Mike Papadakis Yves Le Traon AAML 55 6 0 14 Dec 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 100 222 0 04 Sep 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 128 669 0 16 Jul 2020
Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach Hu Ding Fan Yang Jiawei Huang AAML 41 0 0 14 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation Javier Carnerero-Cano Luis Muñoz-González P. Spencer Emil C. Lupu AAML 108 11 0 28 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 95 79 0 24 Feb 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld Ezra Winston Pradeep Ravikumar J. Zico Kolter OOD AAML 94 159 0 07 Feb 2020
On Defending Against Label Flipping Attacks on Malware Detection Systems R. Taheri R. Javidan Mohammad Shojafar Zahra Pooranian A. Miri Mauro Conti AAML 85 92 0 13 Aug 2019
Poisoning Attacks with Generative Adversarial Nets Luis Muñoz-González Bjarne Pfitzner Matteo Russo Javier Carnerero-Cano Emil C. Lupu AAML 88 64 0 18 Jun 2019
Skeptical Deep Learning with Distribution Correction Mingxiao An Yongzhou Chen Qi Liu Chuanren Liu Guangyi Lv Fangzhao Wu Jianhui Ma NoLa 37 0 0 09 Nov 2018
Formal Verification of Neural Network Controlled Autonomous Systems Xiaowu Sun Haitham Khedr Yasser Shoukry 103 140 0 31 Oct 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 147 79 0 31 Jul 2018