3 papers
cs.SE2026
What Survives the Next Model? Benchmarking LLM-Based Techniques Against Single-Prompts
Nahian Salsabil, Joy Saha, Simantika Bhattacharjee Dristi +4
The software engineering research community has enthusiastically embraced the integration of Large Language Models (LLMs) into complex techniques to solve a wide variety of tasks.…
cs.CV2026
SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks
Nusrat Jahan Mozumder, Divya Gopinath, Corina Pasareanu +1
Deep neural networks are increasingly deployed in safety-critical domains as perception modules, where failures are often caused due to rare and under-represented scenarios. This n…
cs.SE2025
RBT4DNN: Requirements-based Testing of Neural Networks
Nusrat Jahan Mozumder, Felipe Toledo, Swaroopa Dola +1
Testing allows developers to determine whether a system functions as expected. When such systems include deep neural networks (DNNs), Testing becomes challenging, as DNNs approxima…