2 papers
cs.CR2026
Sleeping Secrets: How Fine-Tuning Reawakens Privacy Risks in Language Models
Jianhong Li, Jiahao Chen, Yuwen Pu +6
Beyond adapting Large Language Models (LLMs) to specialized applications, fine-tuning has recently been shown to recover private information that is no longer accessible through di…
cs.SE2026
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
Li Huang, Zhongxin Liu, Yifan Wu +6
Large Language Models (LLMs) for code generation can replicate insecure patterns from their training data. To mitigate this, a common strategy for security hardening is to fine-tun…