ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
Authors: Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen | Published: 2023-08-21 | Updated: 2024-05-22
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
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
A Comparison of Adversarial Learning Techniques for Malware Detection
Authors: Pavla Louthánová, Matouš Kozák, Martin Jureček, Mark Stamp | Published: 2023-08-19
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
Authors: Xiaoyu Ye, Hao Huang, Jiaqi An, Yongtao Wang | Published: 2023-08-19
Generative Adversarial Networks Unlearning
Authors: Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou | Published: 2023-08-19
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
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
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
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