Domain generalization (DG) aims to tackle the distribution shift between...
Zero-shot quantization (ZSQ) is promising for compressing and accelerati...
Federated Learning (FL) enables collaborations among clients for train
m...
Black-box attacks can generate adversarial examples without accessing th...
Despite the success of invariant risk minimization (IRM) in tackling the...
In federated learning (FL), model performance typically suffers from cli...
We present prompt distribution learning for effectively adapting a
pre-t...
Recently Graph Injection Attack (GIA) emerges as a practical attack scen...
Despite recent developments in using the invariance principle from causa...
The adversarial vulnerability of deep neural networks has attracted
sign...