Interpretable and Differentially Private Predictions

Interpretable and Differentially Private Predictions

5 June 2019

Frederik Harder

Papers citing "Interpretable and Differentially Private Predictions"

11 / 11 papers shown

Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 32 0 0 05 May 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 159 0 0 30 Dec 2024
Perturbation-Restrained Sequential Model Editing Junjie Ma Hong Wang Haoyang Xu Zhen-Hua Ling Jia-Chen Gu KELM 71 8 0 27 May 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Balancing Privacy Protection and Interpretability in Federated Learning Zhe Li Honglong Chen Zhichen Ni Huajie Shao FedML 16 8 0 16 Feb 2023
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 34 2 0 14 Dec 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 77 15 0 03 Apr 2022
The Need for Interpretable Features: Motivation and Taxonomy Alexandra Zytek Ignacio Arnaldo Dongyu Liu Laure Berti-Equille K. Veeramachaneni FAtt XAI 13 13 0 23 Feb 2022
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 12 20 0 05 May 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 846 0 01 Mar 2021
Model Explanations with Differential Privacy Neel Patel Reza Shokri Yair Zick SILM FedML 28 32 0 16 Jun 2020