3 papers
cs.GT2026
FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation
Phat T. Tran-Truong, Xuan-Bach Le, Minh Nhat Nguyen
Federated foundation-model adaptation increasingly relies on heterogeneous private artifacts (retrieval corpora, prompts and demonstrations, LoRA adapters, preference and safety da…
cs.SE2026
Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents
Phat T. Tran-Truong, Xuan-Bach Le
Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@…
cs.SE2024
Adversarial Attacks on Code Models with Discriminative Graph Patterns
Thanh-Dat Nguyen, Yang Zhou, Xuan Bach D. Le +2
Pre-trained language models of code are now widely used in various software engineering tasks such as code generation, code completion, vulnerability detection, etc. This, in turn,…