Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
Authors: Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang | Published: 2022-07-25
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Authors: Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li | Published: 2022-07-25
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence
Authors: Markus Bayer, Tobias Frey, Christian Reuter | Published: 2022-07-22
Applying Machine Learning on RSRP-based Features for False Base Station Detection
Authors: Prajwol Kumar Nakarmi, Jakob Sternby, Ikram Ullah | Published: 2022-07-22
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Authors: Megha Khosla | Published: 2022-07-22 | Updated: 2022-10-19
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Authors: Kacem Khaled, Gabriela Nicolescu, Felipe Gohring de Magalhães | Published: 2022-07-21
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Authors: Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida | Published: 2022-07-21 | Updated: 2023-04-26
Digital Twin-based Intrusion Detection for Industrial Control Systems
Authors: Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi, Panos Papadimitratos | Published: 2022-07-20
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
Authors: Amit Kumar Kundu, Joseph Jaja | Published: 2022-07-19
Assaying Out-Of-Distribution Generalization in Transfer Learning
Authors: Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello | Published: 2022-07-19 | Updated: 2022-10-21