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Quantitative robustness of instance ranking problems

12 March 2021

Papers citing "Quantitative robustness of instance ranking problems"

22 / 22 papers shown

Title
Trimming Stability Selection increases variable selection robustness Tino Werner 14 3 0 23 Nov 2021
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng Cynthia Dwork Jialiang Wang Linjun Zhang TDI 21 12 0 03 Oct 2020
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems Minghong Fang Neil Zhenqiang Gong Jia-Wei Liu TDI 68 155 0 19 Feb 2020
The column measure and Gradient-Free Gradient Boosting Tino Werner Peter Ruckdeschel 8 4 0 24 Sep 2019
Poisoning Attacks with Generative Adversarial Nets Luis Muñoz-González Bjarne Pfitzner Matteo Russo Javier Carnerero-Cano Emil C. Lupu AAML 81 64 0 18 Jun 2019
On the Differences between L2-Boosting and the Lasso M. Vogt 13 6 0 13 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 65 100 0 03 Dec 2018
Is Data Clustering in Adversarial Settings Secure? Battista Biggio I. Pillai Samuel Rota Buló Andrea Valenza Marcello Pelillo Fabio Roli AAML 48 130 0 25 Nov 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 85 397 0 12 Aug 2018
On the adversarial robustness of robust estimators Lifeng Lai Erhan Bayraktar 45 10 0 11 Jun 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 64 423 0 21 Apr 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 86 1,094 0 03 Apr 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 85 763 0 01 Apr 2018
Ranking Data with Continuous Labels through Oriented Recursive Partitions Stephan Clémençon Mastane Achab 34 6 0 17 Jan 2018
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 543 5,897 0 08 Jul 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,678 0 08 Feb 2016
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM Léa Laporte Rémi Flamary S. Canu Sébastien Déjean Josiane Mothe 41 101 0 02 Jul 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,066 0 20 Dec 2014
Conformant Planning via Symbolic Model Checking A. Cimatti M. Roveri 88 961 0 01 Jun 2011
Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods R. Hable 168 51 0 04 Oct 2010
Propagation of outliers in multivariate data F. Alqallaf S. Aelst V. Yohai R. Zamar 84 156 0 03 Mar 2009