2 papers
cs.LG2026
Batch Normalization Amplifies Memorization and Privacy Risks
Ngoc Phu Doan, Chongyan Gu, Ihsen Alouani
Batch Normalization (BN) is widely adopted to enable faster convergence and more stable training of deep neural networks. However, its impact on privacy and memorization has remain…
cs.LG2026
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo +2
Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI such as LLMs to be trained across demogra…