Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
Authors: Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm | Published: 2022-11-21 | Updated: 2023-04-26
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Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Authors: Luping Liu, Yi Ren, Xize Cheng, Rongjie Huang, Chongxuan Li, Zhou Zhao | Published: 2022-11-21 | Updated: 2023-06-04
On the Alignment of Group Fairness with Attribute Privacy
Authors: Jan Aalmoes, Vasisht Duddu, Antoine Boutet | Published: 2022-11-18 | Updated: 2024-03-05
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
Authors: Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan | Published: 2022-11-18
Differentially Private Optimizers Can Learn Adversarially Robust Models
Authors: Yuan Zhang, Zhiqi Bu | Published: 2022-11-16 | Updated: 2023-11-21
Multi-Player Bandits Robust to Adversarial Collisions
Authors: Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh | Published: 2022-11-15
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Authors: Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren | Published: 2022-11-14 | Updated: 2024-03-02
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Authors: Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu | Published: 2022-11-13
Provable Membership Inference Privacy
Authors: Zachary Izzo, Jinsung Yoon, Sercan O. Arik, James Zou | Published: 2022-11-12
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Authors: Christopher A. Choquette-Choo, H. Brendan McMahan, Keith Rush, Abhradeep Thakurta | Published: 2022-11-12 | Updated: 2023-06-08