[AI Security] Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair, ICSE 2026

Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair

Woorim Han, Yeongjun Kwak, Miseon Yu, Kyeongmin Kim, Younghan Lee​*, Hyungon Moon, Yunheung Paek​*

IEEE/ACM International Conference on Software Engineering (ICSE 2026)

​*: Correspondence should be addressed to Younghan Lee and Yunheung Paek

0
0

International Papers

Privacy Enhancing Computing Towards an Efficient Dataflow-flexible Accelerator by Finding Optimal Dataflows of DNNs, Future Generation Computer Systems, Sep 2025
Privacy Enhancing Computing An Accelerator for Low-computational Overhead Privacy-Preserving GNN Inference, HiPC 2025
Privacy Enhancing Computing SLOTHE: Lazy Approximation of Non-Arithmetic Neural Network Functions over Encrypted Data, USENIX Security 2025
Privacy Enhancing Computing Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025 Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025
Privacy Enhancing Computing LOHEN: Layer-wise Optimizations for Neural Network Inferences over Encrypted Data with high Performance or Accuracy, USENIX Security 2025
Privacy Enhancing Computing Affinity-based Optimizations of Homomorphic Encryption Operations on Processing-in-DRAM, DAC WIP 2024