3 citations · 3 across the 4 of their papers we have counts for
5 papers
When Code Becomes an LLM Call: An Empirical Study of Call-Site Contracts in Agentic Systems
Shihao Weng, Longtian Wang, Yang Feng +6
Software quality has long rested on specifications that state what code must do, and on testing and verification that check that the code does it. Agentic systems change this found…
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
Shihao Weng, Yang Feng, Jinrui Zhang +3
Large Language Model (LLM) agents are increasingly deployed as task-oriented software systems that use runtime context to decide and act on behalf of users. This delegation model m…
AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
Shihao Weng, Yang Feng, Jincheng Li +3
Transformer-based deep neural networks (DNNs) affected by backdoor attacks and unfairness typically exhibit anomalous attention patterns, leading to over-attend to backdoor trigger…
MoCo: Fuzzing Deep Learning Libraries via Assembling Code
Pin Ji, Yang Feng, Duo Wu +4
The rapidly developing deep learning (DL) techniques have been applied in software systems with various application scenarios. However, they could also pose new safety threats with…
NeuralVis: Visualizing and Interpreting Deep Learning Models
Xufan Zhang, Ziyue Yin, Yang Feng +3
Deep Neural Network(DNN) techniques have been prevalent in software engineering. They are employed to faciliatate various software engineering tasks and embedded into many software…