A Primer on Bayesian Neural Networks: Review and Debates
Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin | Published: 2023-09-28
アルゴリズム
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Authors: Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li | Published: 2023-09-19 | Updated: 2024-02-02
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Authors: Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher | Published: 2023-06-19 | Updated: 2024-03-18
Cyber Key Terrain Identification Using Adjusted PageRank Centrality
Authors: Lukáš Sadlek, Pavel Čeleda | Published: 2023-06-19 | Updated: 2024-04-24
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids
Authors: Cihat Keçeci, Katherine R. Davis, Erchin Serpedin | Published: 2023-06-17
Evaluating Superhuman Models with Consistency Checks
Authors: Lukas Fluri, Daniel Paleka, Florian Tramèr | Published: 2023-06-16 | Updated: 2023-10-19
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Authors: Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis | Published: 2023-06-15
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Authors: Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo | Published: 2023-06-15
PLAN: Variance-Aware Private Mean Estimation
Authors: Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh | Published: 2023-06-14 | Updated: 2024-04-10
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Authors: Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum | Published: 2023-06-14 | Updated: 2024-04-16