HE-LoRA:- Privacy-Preserving Network Intrusion Detection via Homomorphic Encryption LoRA Fine-Tuning of BERT
ABSTRACT With the advancement of large language models, intelligent data analysis has been transformed through context-aware reasoning across diverse domains. In cybersecurity, these capabilities enable automated intrusion detection and anomaly classification from massive network traffic logs. However, fine-tuning language models on raw network data expose critical privacy risks, as logs may contain sensitive information such as IP addresses, payload signatures, and internal communication parameters. |
From Language to Logic: VLM-Grounded Safe Navigation in Novel Environments
¹Kristy Sakano, Kalonji Harrington, ²Mumu Xu
¹Department of Computer Science, University of Maryland, College Park
²Department of Aerospace Engineering, University of Maryland, College Park
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