4 citations · 4 across the 3 of their papers we have counts for
4 papers
Rethinking Federated Unlearning via the Lens of Memorization
Jiaheng Wei, Yanjun Zhang, He Zhang +5
Federated learning (FL) increasingly needs machine unlearning to comply with privacy regulations. However, existing federated unlearning approaches may overlook the overlapping inf…
Five Queries Are Enough: Query-Efficient and Surrogate-Free Membership Inference Attacks on RAG via Entailment
Nguyen Linh Bao Nguyen, Wanlun Ma, Viet Vo +4
Retrieval-augmented generation (RAG) has become central to large language model (LLM) deployments, grounding responses in enterprise or proprietary data to reduce hallucinations. H…
Memorization in deep learning: A survey
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang +5
Deep Learning (DL) powered by Deep Neural Networks (DNNs) has revolutionized various domains, yet understanding the intricacies of DNN decision-making and learning processes remain…
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang +5
A backdoor attack in deep learning inserts a hidden backdoor in the model to trigger malicious behavior upon specific input patterns. Existing detection approaches assume a metric…