v1v2v3 (latest)

Censoring Representations with an Adversary

18 November 2015

Amos Storkey

Papers citing "Censoring Representations with an Adversary"

50 / 205 papers shown

Title
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations Zhun Deng Frances Ding Cynthia Dwork Rachel Hong Giovanni Parmigiani Prasad Patil Pragya Sur OOD FaML 61 30 0 20 Jun 2020
Adversarial representation learning for private speech generation David Ericsson Adam Östberg Edvin Listo Zec John Martinsson Olof Mogren 53 17 0 16 Jun 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 89 6 0 14 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Sicong Liu Junzhao Du Anshumali Shrivastava Lin Zhong 91 14 0 08 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 64 40 0 26 May 2020
Demoting Racial Bias in Hate Speech Detection Mengzhou Xia Anjalie Field Yulia Tsvetkov 88 122 0 25 May 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 136 51 0 21 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 134 16 0 14 May 2020
Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach Steven A. Grosz T. Chugh Anil K. Jain AAML OOD 47 25 0 06 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 70 8 0 04 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 92 274 0 31 Mar 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks Claude Rosin Ngueveu A. Boutet Carole Frindel Sébastien Gambs T. Jourdan Claude Rosin Ngueveu 73 28 0 23 Mar 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 119 97 0 12 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 72 176 0 11 Mar 2020
Addressing target shift in zero-shot learning using grouped adversarial learning Saneem A. Chemmengath Soumava Paul Samarth Bharadwaj Suranjana Samanta Karthik Sankaranarayanan VLM 35 0 0 02 Mar 2020
VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images Hiroki Kawai Jiawei Chen Prakash Ishwar Janusz Konrad GAN CVBM 21 0 0 02 Mar 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 86 175 0 25 Feb 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 67 96 0 24 Feb 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 47 47 0 24 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 100 395 0 21 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 106 842 0 20 Jan 2020
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs Joseph D. Janizek G. Erion A. DeGrave Su-In Lee OOD MedIm 66 29 0 13 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 132 325 0 16 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 95 366 0 26 Nov 2019
Privacy and Utility Preserving Sensor-Data Transformations Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 47 33 0 14 Nov 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 104 217 0 08 Nov 2019
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning Michiel A. Bakker Duy Patrick Tu Humberto Riverón Valdés Krishna P. Gummadi Kush R. Varshney Adrian Weller Alex Pentland 75 5 0 30 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 106 137 0 26 Oct 2019
Optimization Hierarchy for Fair Statistical Decision Problems A. Aswani Matt Olfat 47 3 0 18 Oct 2019
On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi Runyi Yu Vishnu Boddeti AAML 100 31 0 16 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 87 109 0 16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 103 183 0 14 Oct 2019
Constrained Non-Affine Alignment of Embeddings Yuwei Wang Yan Zheng Yanqing Peng Chin-Chia Michael Yeh Zhongfang Zhuang Das Mahashweta Bendre Mangesh Feifei Li Wei Zhang J. M. Phillips 57 3 0 13 Oct 2019
Generating Fair Universal Representations using Adversarial Models Peter Kairouz Jiachun Liao Chong Huang Maunil R. Vyas Monica Welfert Lalitha Sankar 64 17 0 27 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 112 468 0 09 Sep 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 69 181 0 28 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 88 120 0 28 Jun 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 66 67 0 28 Jun 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 110 25 0 27 Jun 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 88 19 0 25 Jun 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 66 70 0 24 Jun 2019
A Cyclically-Trained Adversarial Network for Invariant Representation Learning Jiawei Chen Janusz Konrad Prakash Ishwar AAML GAN OOD 24 8 0 21 Jun 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 94 531 0 21 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 70 218 0 19 Jun 2019
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon MIACV 51 2 0 19 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 111 265 0 06 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 196 334 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 81 227 0 31 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 91 157 0 28 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 94 37 0 26 May 2019