2 citations · 2 across the 9 of their papers we have counts for
9 papers
Protecting Floating-Point Computation for DNN Binaries with MBA Obfuscation
Yikun Hu, Zichen Zhao, Peixiang Qin +4
This submission was made prematurely and has been withdrawn by the authors for substantial revision before further dissemination.
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
Zhengyi Li, Yakai Wang, Kang Yang +6
For Transformer models, cryptographically secure inference ensures that the client learns only the final output, while the server learns nothing about the client's input. However,…
From Secure Agentic AI to Secure Agentic Web: Challenges, Threats, and Future Directions
Zhihang Deng, Jiaping Gui, Weinan Zhang
Large Language Models (LLMs) are increasingly deployed as agentic systems that plan, memorize, and act in open-world environments. This shift brings new security problems: failures…
Local Layer-wise Differential Privacy in Federated Learning
Yunbo Li, Jiaping Gui, Fanchao Meng +1
Federated Learning (FL) enables collaborative model training without direct data sharing, yet it remains vulnerable to privacy attacks such as model inversion and membership infere…
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
Yunbo Li, Jiaping Gui, Zhihang Deng +2
Federated learning (FL) enables collaborative model training across multiple parties without sharing raw data, with semi-asynchronous FL (SAFL) emerging as a balanced approach betw…
RHINO: Guided Reasoning for Mapping Network Logs to Adversarial Tactics and Techniques with Large Language Models
Fanchao Meng, Jiaping Gui, Yunbo Li +1
Modern Network Intrusion Detection Systems generate vast volumes of low-level alerts, yet these outputs remain semantically fragmented, requiring labor-intensive manual correlation…
Towards Explainable Privacy Preservation in Federated Learning via Shapley Value-Guided Noise Injection
Yunbo Li, Jiaping Gui, Yue Wu
This paper proposes FedSVA, an explainable differential privacy (DP) mechanism for federated learning (FL) that dynamically calibrates noise injection based on the privacy contribu…
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
Haiyang Yu, Tian Xie, Jiaping Gui +3
Over the past few years, the emergence of backdoor attacks has presented significant challenges to deep learning systems, allowing attackers to insert backdoors into neural network…
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
Yunbo Li, Jiaping Gui, Yue Wu
Federated learning is highly valued due to its high-performance computing in distributed environments while safeguarding data privacy. To address resource heterogeneity, researcher…