Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Authors: Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang | Published: 2022-06-01
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Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Authors: Huancheng Chen, Haris Vikalo | Published: 2022-06-01 | Updated: 2023-04-20
Differentially Private Shapley Values for Data Evaluation
Authors: Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar | Published: 2022-06-01
Watch Your Back: Identifying Cybercrime Financial Relationships in Bitcoin through Back-and-Forth Exploration
Authors: Gibran Gomez, Pedro Moreno-Sanchez, Juan Caballero | Published: 2022-06-01 | Updated: 2022-10-18
Privacy for Free: How does Dataset Condensation Help Privacy?
Authors: Tian Dong, Bo Zhao, Lingjuan Lyu | Published: 2022-06-01
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?
Authors: Yu-Zhen Janice Chen, Daniel S. Menasche, Don Towsley | Published: 2022-05-31
Private Federated Submodel Learning with Sparsification
Authors: Sajani Vithana, Sennur Ulukus | Published: 2022-05-31
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Authors: Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo | Published: 2022-05-31 | Updated: 2022-08-12
Dropbear: Machine Learning Marketplaces made Trustworthy with Byzantine Model Agreement
Authors: Alex Shamis, Peter Pietzuch, Antoine Delignat-Lavaud, Andrew Paverd, Manuel Costa | Published: 2022-05-31
Integrity Authentication in Tree Models
Authors: Weijie Zhao, Yingjie Lao, Ping Li | Published: 2022-05-30 | Updated: 2022-06-23