1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026
PRBench: A Standardized Probabilistic Robustness Benchmark
Yi Zhang, Zheng Wang, Zhen Chen +5
Deep learning models are notoriously vulnerable to imperceptible perturbations. Most existing research centers on adversarial robustness (AR), which evaluates models under worst-ca…
cs.LG2026★ 1 cited
Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
Lucas Fenaux, Zheng Wang, Jacob Yan +2
Federated Learning (FL) enables distributed model training but is vulnerable to backdoor attacks, where malicious clients embed attacker-controlled behaviors into the global model.…