Privacy and Efficiency of Communications in Federated Split Learning
Authors: Zongshun Zhang, Andrea Pinto, Valeria Turina, Flavio Esposito, Ibrahim Matta | Published: 2023-01-04 | Updated: 2023-01-07
Optimization Methods
Ranking Differential Privacy
Authors: Shirong Xu, Will Wei Sun, Guang Cheng | Published: 2023-01-02
DPack: Efficiency-Oriented Privacy Budget Scheduling
Authors: Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang | Published: 2022-12-26 | Updated: 2024-10-10
Mobile Augmented Reality with Federated Learning in the Metaverse
Authors: Xinyu Zhou, Jun Zhao | Published: 2022-12-16 | Updated: 2023-11-07
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Authors: Hong-Ming Chiu, Richard Y. Zhang | Published: 2022-11-30 | Updated: 2023-06-14
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Authors: Guangrun Wang, Philip H. S. Torr | Published: 2022-11-27 | Updated: 2022-12-08
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
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