Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
Authors: Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han | Published: 2022-08-18
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
Authors: Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam | Published: 2022-08-17
An Efficient Multi-Step Framework for Malware Packing Identification
Authors: Jong-Wouk Kim, Yang-Sae Moon, Mi-Jung Choi | Published: 2022-08-17
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Authors: Hamid Mozaffari, Virendra J. Marathe, Dave Dice | Published: 2022-08-16
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
Authors: Chuyen Nguyen, Caleb Morgan, Sudip Mittal | Published: 2022-08-16
Deception for Cyber Defence: Challenges and Opportunities
Authors: David Liebowitz, Surya Nepal, Kristen Moore, Cody J. Christopher, Salil S. Kanhere, David Nguyen, Roelien C. Timmer, Michael Longland, Keerth Rathakumar | Published: 2022-08-15
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Authors: Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das | Published: 2022-08-14
Practical Vertical Federated Learning with Unsupervised Representation Learning
Authors: Zhaomin Wu, Qinbin Li, Bingsheng He | Published: 2022-08-13
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Authors: Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang | Published: 2022-08-12 | Updated: 2023-08-24
A Knowledge Distillation-Based Backdoor Attack in Federated Learning
Authors: Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li | Published: 2022-08-12