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Censoring Representations with an Adversary

18 November 2015

Amos Storkey

Papers citing "Censoring Representations with an Adversary"

50 / 308 papers shown

Title
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 189 14 0 09 Apr 2022
Robust No-Regret Learning in Min-Max Stackelberg GamesAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Denizalp Goktas Jiayi Zhao Amy Greenwald 239 13 0 26 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2022 Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 215 16 0 23 Mar 2022
Improving the Fairness of Chest X-ray ClassifiersACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 208 90 0 23 Mar 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning Hugo Elias Berg Elizaveta Semenova Brandon Smart Wonsuk Yang Hannah Rose Kirk Aleksandar Shtedritski Max Bain VLM 319 129 0 22 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution TechniquesACM Computing Surveys (ACM CSUR), 2022 N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 256 110 0 22 Mar 2022
Adversarial Learned Fair Representations using Dampening and Stacking M. Knobbout FaML 109 1 0 16 Mar 2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute InformationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Shun Shao Yftah Ziser Shay B. Cohen AAML 286 35 0 15 Mar 2022
Distraction is All You Need for Fairness Mehdi Yazdani-Jahromi Amirarsalan Rajabi Ali Khodabandeh Yalabadi Aida Tayebi O. Garibay 283 4 0 15 Mar 2022
Renyi Fair Information Bottleneck for Image ClassificationCanadian Workshop on Information Theory (CWIT), 2022 A. Gronowski William Paul F. Alajaji Bahman Gharesifard Philippe Burlina FaML 117 8 0 09 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep ClassifiersComputer Vision and Pattern Recognition (CVPR), 2022 Dominik Zietlow Michael Lohaus Guha Balakrishnan Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Chris Russell FaML 214 86 0 09 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 C. Li Andrea Cavallaro PICV 182 0 0 05 Mar 2022
On Learning and Testing of Counterfactual Fairness through Data PreprocessingJournal of the American Statistical Association (JASA), 2022 Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 129 6 0 25 Feb 2022
Toward More Generalized Malicious URL Detection ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Yun-Da Tsai Cayon Liow Yin Sheng Siang Shou-De Lin 121 20 0 21 Feb 2022
Learning fair representation with a parametric integral probability metricInternational Conference on Machine Learning (ICML), 2022 Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 272 23 0 07 Feb 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks Jan Aalmoes Vasisht Duddu A. Boutet 146 10 0 04 Feb 2022
Linear Adversarial Concept ErasureInternational Conference on Machine Learning (ICML), 2022 Shauli Ravfogel Michael Twiton Yoav Goldberg Robert Bamler KELM 448 78 0 28 Jan 2022
Are Commercial Face Detection Models as Biased as Academic Models? Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 336 5 0 25 Jan 2022
Latent Space Smoothing for Individually Fair RepresentationsEuropean Conference on Computer Vision (ECCV), 2021 Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 232 24 0 26 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 236 14 0 16 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 263 39 0 04 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 346 10 0 27 Oct 2021
Comparing Human and Machine Bias in Face Recognition Samuel Dooley Ryan Downing George Z. Wei N. Shankar Bradon Thymes ... Olufemi Obiwumi Valeriia Cherepanova Micah Goldblum John P. Dickerson Tom Goldstein CVBM 309 12 0 15 Oct 2021
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 165 25 0 14 Oct 2021
Convex-Concave Min-Max Stackelberg Games Denizalp Goktas Amy Greenwald 377 36 0 05 Oct 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 134 5 0 12 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 199 11 0 08 Sep 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks Amirarsalan Rajabi O. Garibay GAN 146 66 0 02 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 225 26 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Tianyu Wang Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 468 628 0 31 Aug 2021
Robustness Disparities in Commercial Face Detection Samuel Dooley Tom Goldstein John P. Dickerson CVBM 132 14 0 27 Aug 2021
Adversarial Stacked Auto-Encoders for Fair Representation Learning Patrik Kenfack Adil Khan Rasheed Hussain S. M. Ahsan Kazmi FaML 109 4 0 27 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner Srinivasan Parthasarathy 145 6 0 13 Jul 2021
Impossibility results for fair representations Tosca Lechner Shai Ben-David Sushant Agarwal Nivasini Ananthakrishnan FaML 124 16 0 07 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 98 6 0 03 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 89 0 0 03 Jul 2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-DistillationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Pratik Mazumder Pravendra Singh Vinay P. Namboodiri SSL 133 2 0 30 Jun 2021
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Xianjing Liu Yue Liu Esther E. Bron W. Niessen E. Wolvius Gennady Roshchupkin CVBM 149 10 0 25 Jun 2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers Patrick R. Johnstone Jonathan Eckstein Thomas Flynn Shinjae Yoo 106 2 0 24 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 227 85 0 23 Jun 2021
Costs and Benefits of Fair Regression Han Zhao FaML 105 10 0 16 Jun 2021
Fair Normalizing FlowsInternational Conference on Learning Representations (ICLR), 2021 Mislav Balunović Anian Ruoss Martin Vechev AAML 238 46 0 10 Jun 2021
Deep Clustering based Fair Outlier DetectionKnowledge Discovery and Data Mining (KDD), 2021 Hanyu Song Peizhao Li Hongfu Liu FaML 154 36 0 09 Jun 2021
Fair Representations by CompressionAAAI Conference on Artificial Intelligence (AAAI), 2021 Xavier Gitiaux Huzefa Rangwala FaML 166 17 0 28 May 2021
Obstructing Classification via ProjectionInternational Symposium on Mathematical Foundations of Computer Science (MFCS), 2021 P. Haghighatkhah Wouter Meulemans Bettina Speckmann Jérôme Urhausen Kevin Verbeek 109 6 0 19 May 2021
Improving Fairness of AI Systems with Lossless De-biasing Yan Zhou Murat Kantarcioglu Chris Clifton 94 12 0 10 May 2021
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related FeaturesWeb Search and Data Mining (WSDM), 2021 Tianxiang Zhao Enyan Dai Kai Shu Suhang Wang FaML 210 69 0 29 Apr 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 161 13 0 23 Apr 2021
Wasserstein Robust Classification with Fairness ConstraintsManufacturing & Service Operations Management (M&SOM), 2021 Yijie Wang Viet Anh Nguyen G. A. Hanasusanto OOD 185 12 0 11 Mar 2021
Understanding and Mitigating Accuracy Disparity in RegressionInternational Conference on Machine Learning (ICML), 2021 Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 183 28 0 24 Feb 2021