Reconstructing Training Data from Model Gradient, Provably
Authors: Zihan Wang, Jason D. Lee, Qi Lei | Published: 2022-12-07 | Updated: 2023-06-10
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
Authors: Lorin Jenkel, Stefan Jonas, Angela Meyer | Published: 2022-12-07 | Updated: 2023-07-12
On the Discredibility of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2022-12-06 | Updated: 2023-04-28
StyleGAN as a Utility-Preserving Face De-identification Method
Authors: Seyyed Mohammad Sadegh Moosavi Khorzooghi, Shirin Nilizadeh | Published: 2022-12-05 | Updated: 2023-08-31
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Authors: Mengfan Xu, Diego Klabjan | Published: 2022-12-01 | Updated: 2023-05-30
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Chong Fu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-01-22
Hijack Vertical Federated Learning Models As One Party
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-02-16
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
Targets in Reinforcement Learning to solve Stackelberg Security Games
Authors: Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson | Published: 2022-11-30
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