Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21
学習の改善
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Authors: Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, Michael Fu, John Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Phung | Published: 2022-09-20 | Updated: 2024-06-12
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle
Authors: Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John Grundy, Hung Nguyen, Dinh Phung | Published: 2022-09-19
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Authors: Li Yang, Abdallah Shami | Published: 2022-09-16
DiVa: An Accelerator for Differentially Private Machine Learning
Authors: Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu | Published: 2022-08-26
Adversarially Robust PAC Learnability of Real-Valued Functions
Authors: Idan Attias, Steve Hanneke | Published: 2022-06-26 | Updated: 2024-05-05
Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
Authors: Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim | Published: 2022-06-25
Using Autoencoders on Differentially Private Federated Learning GANs
Authors: Gregor Schram, Rui Wang, Kaitai Liang | Published: 2022-06-24
What You See is What You Get: Principled Deep Learning via Distributional Generalization
Authors: Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran | Published: 2022-04-07 | Updated: 2022-10-17
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Authors: Yuhan Yang, Yong Zhou, Youlong Wu, Yuanming Shi | Published: 2022-03-31