Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges

Authors: Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, Stanislaw H Zak, Ziran Wang | Published: 2023-08-21 | Updated: 2023-11-11
2023.08.21 2025.04.03
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AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Authors: Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding | Published: 2023-08-20
2023.08.20 2025.04.03
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A Comparison of Adversarial Learning Techniques for Malware Detection

Authors: Pavla Louthánová, Matouš Kozák, Martin Jureček, Mark Stamp | Published: 2023-08-19
2023.08.19 2025.04.03
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DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization

Authors: Xiaoyu Ye, Hao Huang, Jiaqi An, Yongtao Wang | Published: 2023-08-19
2023.08.19 2025.04.03
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Generative Adversarial Networks Unlearning

Authors: Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou | Published: 2023-08-19
2023.08.19 2025.04.03
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An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity

Authors: Deepika Saxena, Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Xiaoqing Wen | Published: 2023-08-18
2023.08.18 2025.04.03
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Attesting Distributional Properties of Training Data for Machine Learning

Authors: Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, N. Asokan | Published: 2023-08-18 | Updated: 2024-04-09
2023.08.18 2025.04.03
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Intrusion Detection based on Federated Learning: a systematic review

Authors: Jose L. Hernandez-Ramos, Georgios Karopoulos, Efstratios Chatzoglou, Vasileios Kouliaridis, Enrique Marmol, Aurora Gonzalez-Vidal, Georgios Kambourakis | Published: 2023-08-18
2023.08.18 2025.04.03
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Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models

Authors: Dominik Hintersdorf, Lukas Struppek, Kristian Kersting | Published: 2023-08-18
2023.08.18 2025.04.03
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A Graph-based Stratified Sampling Methodology for the Analysis of (Underground) Forums

Authors: Giorgio Di Tizio, Gilberto Atondo Siu, Alice Hutchings, Fabio Massacci | Published: 2023-08-18
2023.08.18 2025.04.03
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