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Subverting Fair Image Search with Generative Adversarial Perturbations

5 May 2022

Papers citing "Subverting Fair Image Search with Generative Adversarial Perturbations"

50 / 54 papers shown

Title
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 63 138 0 16 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 46 32 0 10 Jun 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 84 45 0 05 May 2021
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval Gregor Geigle Jonas Pfeiffer Nils Reimers Ivan Vulić Iryna Gurevych 83 60 0 22 Mar 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 120 54 0 05 Jan 2021
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 72 67 0 16 Dec 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 73 130 0 30 Oct 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 51 57 0 14 Aug 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 60 120 0 24 Jun 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 121 338 0 23 Jun 2020
On Adversarial Bias and the Robustness of Fair Machine Learning Hong Chang Ta Duy Nguyen S. K. Murakonda Ehsan Kazemi Reza Shokri FaML OOD FedML 62 51 0 15 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 64 212 0 29 May 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 59 81 0 15 Apr 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 132 1,944 0 13 Apr 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 285 838 0 19 Feb 2020
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 123 265 0 31 Oct 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 240 3,695 0 06 Aug 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 56 248 0 30 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 92 383 0 30 Apr 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 134 1,251 0 29 Apr 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 57 81 0 10 Apr 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 107 380 0 02 Mar 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 117 72 0 21 Feb 2019
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval Zhuoran Liu Zhengyu Zhao Martha Larson AAML 46 42 0 29 Jan 2019
Implicit Diversity in Image Summarization L. E. Celis Vijay Keswani 65 35 0 29 Jan 2019
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
Understanding the Origins of Bias in Word Embeddings Marc-Etienne Brunet Colleen Alkalay-Houlihan Ashton Anderson R. Zemel FaML 76 204 0 08 Oct 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 85 397 0 12 Aug 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 85 776 0 06 Jun 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 72 128 0 15 May 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 1,097 0 03 Apr 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 243 3,194 0 01 Feb 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 85 1,097 0 27 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 72 355 0 06 Dec 2017
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes Nikhil Garg L. Schiebinger Dan Jurafsky James Zou AI4TS 69 965 0 22 Nov 2017
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Ajmal Mian AAML 76 208 0 16 Nov 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 115 342 0 07 Jun 2017
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 67 352 0 29 May 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 90 559 0 11 Apr 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 140 1,741 0 08 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,147 0 04 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 148 2,533 0 26 Oct 2016
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library Nicolas Papernot Fartash Faghri Nicholas Carlini Ian Goodfellow Reuben Feinman ... David Berthelot P. Hendricks Jonas Rauber Rujun Long Patrick McDaniel AAML 65 514 0 03 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,579 0 16 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 112 3,150 0 21 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,903 0 14 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 525 62,360 0 04 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 383 9,511 0 28 May 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,107 0 20 Dec 2014