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POTs: Protective Optimization Technologies

7 June 2018

Papers citing "POTs: Protective Optimization Technologies"

35 / 35 papers shown

Title
Measuring the right thing: justifying metrics in AI impact assessments Stefan Buijsman Herman Veluwenkamp 51 0 0 07 Apr 2025
Data Defenses Against Large Language Models William Agnew Harry H. Jiang Cella Sum Maarten Sap Sauvik Das AAML 115 0 0 17 Oct 2024
Decline Now: A Combinatorial Model for Algorithmic Collective Action Dorothee Sigg Moritz Hardt Celestine Mendler-Dünner 49 2 0 16 Oct 2024
An Empirical Exploration of Trust Dynamics in LLM Supply Chains Agathe Balayn Mireia Yurrita Fanny Rancourt Fabio Casati U. Gadiraju 66 6 0 25 May 2024
The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases Richard Fulton Diane Fulton Nate Hayes Susan Kaplan 57 1 0 11 Apr 2024
The Ethics of AI in Education K. Porayska-Pomsta Wayne Holmes Selena Nemorin 80 90 0 22 Mar 2024
Online Algorithmic Recourse by Collective Action Elliot Creager Richard Zemel 42 4 0 29 Dec 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 87 17 0 29 Sep 2023
Privacy engineering through obfuscation Ero Balsa 33 1 0 24 Aug 2023
Human-AI Coevolution D. Pedreschi Luca Pappalardo Emanuele Ferragina R. Baeza-Yates Albert-László Barabási ... Paul Lukowicz A. Passarella Alex Pentland John Shawe-Taylor Alessandro Vespignani 87 22 0 23 Jun 2023
Area is all you need: repeatable elements make stronger adversarial attacks D. Niederhut AAML 64 0 0 13 Jun 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 59 6 0 27 May 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 90 17 0 05 Apr 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 84 1 0 14 Mar 2023
Algorithmic Collective Action in Machine Learning Moritz Hardt Eric Mazumdar Celestine Mendler-Dünner Tijana Zrnic 72 22 0 08 Feb 2023
FATE in AI: Towards Algorithmic Inclusivity and Accessibility Isa Inuwa-Dutse 67 9 0 03 Jan 2023
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 91 18 0 27 Aug 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 83 32 0 09 May 2022
Transparency, Compliance, And Contestability When Code Is(n't) Law A. Hicks AILaw 52 4 0 08 May 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 67 16 0 27 Jan 2022
Addressing Privacy Threats from Machine Learning Mary Anne Smart 59 2 0 25 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Seven challenges for harmonizing explainability requirements Jiahao Chen Victor Storchan 69 8 0 11 Aug 2021
What are you optimizing for? Aligning Recommender Systems with Human Values J. Stray Ivan Vendrov Jeremy Nixon Steven Adler Dylan Hadfield-Menell OffRL 71 55 0 22 Jul 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks Kendra Albert Maggie K. Delano B. Kulynych Ramnath Kumar AAML 133 5 0 11 Jul 2021
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 88 59 0 28 Jun 2021
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks Mckane Andrus Sarah Dean T. Gilbert Nathan Lambert Tom Zick 48 8 0 04 Feb 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 167 51 0 28 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 355 707 0 19 Oct 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 107 122 0 24 Jun 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
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 84 82 0 15 Apr 2020
Politics of Adversarial Machine Learning Kendra Albert J. Penney B. Schneier Ramnath Kumar AAML 121 20 0 01 Feb 2020
Questioning the assumptions behind fairness solutions Sina Ghiassian B. Kulynych Martha White R. Sutton Seda F. Gürses FaML 55 22 0 27 Nov 2018
Evading classifiers in discrete domains with provable optimality guarantees B. Kulynych Jamie Hayes N. Samarin Carmela Troncoso AAML 85 20 0 25 Oct 2018