27 citations · 44 across the 8 of their papers we have counts for
3 papers · 1 filter
zPROBE: Zero Peek Robustness Checks for Federated Learning
Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani +3
Privacy-preserving federated learning allows multiple users to jointly train a model with coordination of a central server. The server only learns the final aggregation result, thu…
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
Yinbo Yu, Jiajia Liu, Shouqing Li +2
Deep reinforcement learning (DRL) has made significant achievements in many real-world applications. But these real-world applications typically can only provide partial observatio…
AgileNet: Lightweight Dictionary-based Few-shot Learning
Mohammad Ghasemzadeh, Fang Lin, Bita Darvish Rouhani +2
The success of deep learning models is heavily tied to the use of massive amount of labeled data and excessively long training time. With the emergence of intelligent edge applicat…