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Model Explanations with Differential Privacy

Model Explanations with Differential Privacy

16 June 2020
Neel Patel
Reza Shokri
Yair Zick
    SILM
    FedML
ArXivPDFHTML

Papers citing "Model Explanations with Differential Privacy"

8 / 8 papers shown
Title
A Tale of Two Imperatives: Privacy and Explainability
A Tale of Two Imperatives: Privacy and Explainability
Supriya Manna
Niladri Sett
94
0
0
30 Dec 2024
Balancing Privacy Protection and Interpretability in Federated Learning
Balancing Privacy Protection and Interpretability in Federated Learning
Zhe Li
Honglong Chen
Zhichen Ni
Huajie Shao
FedML
8
8
0
16 Feb 2023
Tensions Between the Proxies of Human Values in AI
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
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
27
14
0
08 Nov 2022
Differentially Private Counterfactuals via Functional Mechanism
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Xia Hu
24
8
0
04 Aug 2022
When Differential Privacy Meets Interpretability: A Case Study
When Differential Privacy Meets Interpretability: A Case Study
Rakshit Naidu
Aman Priyanshu
Aadith Kumar
Sasikanth Kotti
Haofan Wang
Fatemehsadat Mireshghallah
16
9
0
24 Jun 2021
Model extraction from counterfactual explanations
Model extraction from counterfactual explanations
Ulrich Aivodji
Alexandre Bolot
Sébastien Gambs
MIACV
MLAU
27
51
0
03 Sep 2020
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
570
0
08 Dec 2012
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