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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
LEACE: Perfect linear concept erasure in closed formNeural Information Processing Systems (NeurIPS), 2023 Nora Belrose David Schneider-Joseph Shauli Ravfogel Robert Bamler Edward Raff Stella Biderman KELM MU 761 164 0 06 Jun 2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss Moritz Vandenhirtz Laura Manduchi Ricards Marcinkevics Julia E. Vogt 130 3 0 31 May 2023
Mitigating Test-Time Bias for Fair Image RetrievalNeural Information Processing Systems (NeurIPS), 2023 Fanjie Kong Shuai Yuan Weituo Hao Ricardo Henao 180 23 0 23 May 2023
Fair-CDA: Continuous and Directional Augmentation for Group FairnessAAAI Conference on Artificial Intelligence (AAAI), 2023 Ruijin Sun Fengwei Zhou Zhenhua Dong Chuanlong Xie Lanqing Hong Jiawei Li Rui-Xun Zhang Zerui Li Zhenguo Li 171 3 0 01 Apr 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 369 1 0 14 Mar 2023
Achieving Counterfactual Fairness for Anomaly DetectionPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023 Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 144 8 0 04 Mar 2023
Efficient fair PCA for fair representation learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Matthäus Kleindessner Michele Donini Chris Russell Muhammad Bilal Zafar FaML 159 26 0 26 Feb 2023
Fair Attribute Completion on Graph with Missing AttributesInternational Conference on Learning Representations (ICLR), 2023 Dongliang Guo Zhixuan Chu Sheng Li FaML 211 23 0 25 Feb 2023
Scalable Infomin LearningNeural Information Processing Systems (NeurIPS), 2023 Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 229 9 0 21 Feb 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023 Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 441 9 0 19 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 284 168 0 07 Feb 2023
Erasure of Unaligned Attributes from Neural RepresentationsTransactions of the Association for Computational Linguistics (TACL), 2023 Shun Shao Yftah Ziser Shay B. Cohen 249 12 0 06 Feb 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Helen Zhou 340 4 0 31 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 249 13 0 18 Jan 2023
Graph Learning with Localized Neighborhood Fairness April Chen Ryan Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo Eunyee Koh Sungchul Kim Nesreen K. Ahmed FaML 136 7 0 22 Dec 2022
Robustness Disparities in Face DetectionNeural Information Processing Systems (NeurIPS), 2022 Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 175 11 0 29 Nov 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation ModelsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 188 62 0 27 Nov 2022
On the Alignment of Group Fairness with Attribute PrivacyWISE (WISE), 2022 Jan Aalmoes Vasisht Duddu A. Boutet 270 5 0 18 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical TestingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Namrata Deka Danica J. Sutherland 209 16 0 15 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 133 1 0 03 Nov 2022
Trustworthy Representation Learning via Information Funnels and BottlenecksMachine-mediated learning (ML), 2022 João Machado de Freitas Bernhard C. Geiger 133 4 0 02 Nov 2022
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers Haris Mansoor Sarwan Ali Shafiq Alam Muhammad Asad Khan U. Hassan Imdadullah Khan FaML 157 5 0 01 Nov 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 191 2 0 21 Oct 2022
Attaining Class-level Forgetting in Pretrained Model using Few SamplesEuropean Conference on Computer Vision (ECCV), 2022 Pravendra Singh Pratik Mazumder M. A. Karim VLM CLL MU 87 3 0 19 Oct 2022
Log-linear Guardedness and its ImplicationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Shauli Ravfogel Yoav Goldberg Robert Bamler 621 2 0 18 Oct 2022
FARE: Provably Fair Representation Learning with Practical CertificatesInternational Conference on Machine Learning (ICML), 2022 Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 335 20 0 13 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 265 0 0 12 Oct 2022
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation Clara Rus Jeffrey Luppes Harrie Oosterhuis Gido Schoenmacker FaML 153 16 0 20 Sep 2022
FairGBM: Gradient Boosting with Fairness ConstraintsInternational Conference on Learning Representations (ICLR), 2022 André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 289 28 0 16 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 222 1 0 15 Sep 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 101 5 0 04 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022 Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 329 234 0 14 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced LearningDiscover Data (DD), 2022 Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 147 30 0 13 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 165 19 0 11 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zinan Lin OOD 197 12 0 04 Jul 2022
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 148 49 0 23 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter SmoothingInternational Conference on Machine Learning (ICML), 2022 Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 184 15 0 22 Jun 2022
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi MeasuresIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 A. Gronowski William Paul F. Alajaji Bahman Gharesifard Philippe Burlina FaML 281 7 0 20 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 250 28 0 16 Jun 2022
Learning Fashion Compatibility from In-the-wild ImagesInternational Conference on Pattern Recognition (ICPR), 2022 Additya Popli Vijay Kumar Sujit Jos Saraansh Tandon 156 1 0 13 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced DataInternational Conference on Learning Representations (ICLR), 2022 Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 164 17 0 06 Jun 2022
Certifying Some Distributional Fairness with Subpopulation DecompositionNeural Information Processing Systems (NeurIPS), 2022 Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Yue Liu OOD 206 17 0 31 May 2022
Fairness in Recommendation: Foundations, Methods and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Zelong Li FaML OffRL 468 77 0 26 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 268 32 0 11 May 2022
On Disentangled and Locally Fair Representations Yaron Gurovich Sagie Benaim Lior Wolf FaML 100 0 0 05 May 2022
Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious TransformationIEEE International Joint Conference on Neural Network (IJCNN), 2022 Bishwas Mandal G. Amariucai Shuangqing Wei 216 5 0 04 May 2022
SoFaiR: Single Shot Fair Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Xavier Gitiaux Huzefa Rangwala 117 4 0 26 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 212 0 0 22 Apr 2022
Fairness in Graph Mining: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 336 150 0 21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityMachine Intelligence Research (MIR), 2022 Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Shucheng Zhou Suhang Wang 326 187 0 18 Apr 2022