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
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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
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge
Authors: Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada | Published: 2022-07-19
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Authors: Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott | Published: 2022-07-19
FLAIR: Federated Learning Annotated Image Repository
Authors: Congzheng Song, Filip Granqvist, Kunal Talwar | Published: 2022-07-18
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling
Authors: Xudong Pan, Qifan Xiao, Mi Zhang, Min Yang | Published: 2022-07-18
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Authors: Ali Raza, Shujun Li, Kim-Phuc Tran, Ludovic Koehl, Kim Duc Tran | Published: 2022-07-18 | Updated: 2025-03-25