v1v2v3 (latest)

Censoring Representations with an Adversary

18 November 2015

Amos Storkey

Papers citing "Censoring Representations with an Adversary"

50 / 308 papers shown

Title
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity João Mattos Debolina Halder Lina A. Silva 216 0 0 09 Nov 2025
Doubly-Regressing Approach for Subgroup Fairness Kyungseon Lee Kunwoong Kim Jihu Lee Dongyoon Yang Yongdai Kim 90 0 0 24 Oct 2025
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference Yuhong Luo Austin Hoag Xintong Wang Philip S Thomas Przemyslaw A. Grabowicz FaML 257 0 0 23 Oct 2025
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Arun Vignesh Malarkkan Haoyue Bai Anjali Kaushik Yanjie Fu OffRL 56 0 0 31 Aug 2025
SoK: Data Minimization in Machine Learning Robin Staab Nikola Jovanović Kimberly Mai Prakhar Ganesh Martin Vechev Ferdinando Fioretto Matthew Jagielski 145 0 0 14 Aug 2025
Structural Equation-VAE: Disentangled Latent Representations for Tabular Data Ruiyu Zhang Ce Zhao Xin Zhao Lin Nie Wai-Fung Lam DRL CML CoGe 249 0 0 08 Aug 2025
PASS: Private Attributes Protection with Stochastic Data Substitution Yizhuo Chen Chun-Fu Chen Hsiang Hsu Shaohan Hu Tarek Abdelzaher 291 0 0 08 Jun 2025
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals Dena F. Mujtaba Nihar R. Mahapatra 276 0 0 17 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability MetricsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Insung Kong Kunwoong Kim Yongdai Kim FaML 390 5 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 275 0 0 26 Apr 2025
Fair Sufficient Representation Learning Xueyu Zhou Chun Yin IP Jian Huang FaML 193 0 0 29 Mar 2025
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels Adam Wei Abhinav Agarwal Boyuan Chen Rohan Bosworth Nicholas Pfaff Russ Tedrake 248 12 0 28 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Helen Zhou 797 0 0 10 Mar 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 444 2 0 10 Jan 2025
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Prakhar Ganesh Usman Gohar Lu Cheng G. Farnadi FaML 383 3 0 17 Nov 2024
Power side-channel leakage localization through adversarial training of deep neural networks Jimmy Gammell A. Raghunathan Kaushik Roy AAML 217 0 0 29 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI AuditingConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024 Sarah H. Cen Rohan Alur 249 8 0 07 Oct 2024
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions Yu-Shin Huang Peter Just Krishna Narayanan Chao Tian 262 15 0 06 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024 Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 628 5 0 05 Oct 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 273 0 0 26 Sep 2024
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 192 0 0 23 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 337 11 0 05 Aug 2024
Learning Interpretable Fair Representations Tianhao Wang Zana Buçinca Zilin Ma FaML 154 1 0 24 Jun 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 277 3 0 09 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 151 0 0 07 Jun 2024
Back to the Drawing Board for Fair Representation Learning Angeline Pouget Nikola Jovanović Mark Vero Robin Staab Martin Vechev 130 0 0 28 May 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective Yizhuo Chen Chun-Fu Chen Hsiang Hsu Shaohan Hu Marco Pistoia Tarek Abdelzaher 290 3 0 23 May 2024
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4 Bishwas Mandal G. Amariucai Shuangqing Wei 202 3 0 07 Apr 2024
Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization Bishwas Mandal G. Amariucai Shuangqing Wei 136 0 0 07 Apr 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information NeutralizationAAAI Conference on Artificial Intelligence (AAAI), 2024 Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 371 29 0 19 Mar 2024
Deep Variational Privacy Funnel: General Modeling with Applications in Face RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Behrooz Razeghi Parsa Rahimi S´ebastien Marcel FedML 221 7 0 26 Jan 2024
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People ImagesConference on Fairness, Accountability and Transparency (FAccT), 2024 Hansa Srinivasan Candice Schumann Aradhana Sinha David Madras Gbolahan O. Olanubi Alex Beutel Susanna Ricco Jilin Chen 217 6 0 25 Jan 2024
Benchmarking the Fairness of Image Upsampling MethodsConference on Fairness, Accountability and Transparency (FAccT), 2024 M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 275 4 0 24 Jan 2024
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 208 1 0 17 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive AttributesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Jinwon Sohn Qifan Song Guang Lin FaML 316 2 0 10 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing Modar Sulaiman Kallol Roy 206 0 0 06 Nov 2023
EXTRACT: Explainable Transparent Control of Bias in Embeddings Zhijin Guo Zhaozhen Xu Martha Lewis N. Cristianini 100 2 0 31 Oct 2023
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models Feng Chen Liqin Wang Julie Hong Jiaqi Jiang Li Zhou 363 39 0 30 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessNeural Information Processing Systems (NeurIPS), 2023 Jacy Reese Anthis Victor Veitch 200 20 0 30 Oct 2023
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 341 1 0 23 Oct 2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace EstimationInternational Conference on Machine Learning (ICML), 2023 Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 207 3 0 18 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 253 2 0 03 Oct 2023
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations Phanideep Gampa Farnoosh Javadi Belhassen Bayar Ainur Yessenalina 134 0 0 25 Sep 2023
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 345 29 0 24 Sep 2023
GBM-based Bregman Proximal Algorithms for Constrained Learning Zhenwei Lin Qi Deng 137 1 0 21 Aug 2023
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem Elena Gal Shaun Singh Aldo Pacchiano Benjamin Walker Terry Lyons Jakob N. Foerster FaML 154 0 0 15 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 271 12 0 31 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 193 10 0 20 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Helen Zhou Na Zou 173 4 0 09 Jul 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsInternational Conference on Learning Representations (ICLR), 2023 Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Helen Zhou 259 40 0 15 Jun 2023