4 papers
Tensor-Based Batch Fuzzing with Adaptive Perturbation Scaling for Deep Neural Networks
Guanqin Zhang, Yulei Sui
Deep neural networks are increasingly deployed in safety-critical domains such as autonomous driving and medical diagnosis, yet their opaque, high-dimensional parameter spaces make…
MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts
Yifan Shen, Yangyang Shu, Hye-young Paik +1
Recent advances in text-to-image (T2I) models, especially diffusion-based architectures, have significantly improved the visual quality of generated images. However, these models c…
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
Ruijun Feng, Hammond Pearce, Pietro Liguori +1
Large language models (LLMs) have been proposed as powerful tools for detecting software vulnerabilities, where task-specific fine-tuning is typically employed to provide vulnerabi…
Tracing Errors, Constructing Fixes: Repository-Level Memory Error Repair via Typestate-Guided Context Retrieval
Xiao Cheng, Zhihao Guo, Huan Huo +1
Memory-related errors in C programming continue to pose significant challenges in software development, primarily due to the complexities of manual memory management inherent in th…