4 papers
CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design
Kiran Thorat, Nicole Meng, Caiwen Ding +2
Accurate routability estimation during physical design is important for reducing costly post-routing iterations. Prior learning-based methods treat this task as deterministic predi…
3DEditSafe: Defending 3D Editing Pipelines from Unsafe Generation
Nicole Meng, Zheyuan Liu, Meng Jiang +1
Recent advances in 3D generative editing, particularly pipelines based on 3D Gaussian Splatting (3DGS), have achieved high-fidelity, multi-view-consistent scene manipulation from t…
GIF: A Conditional Multimodal Generative Framework for IR Drop Imaging in Chip Layouts
Kiran Thorat, Nicole Meng, Mostafa Karami +3
IR drop analysis is essential in physical chip design to ensure the power integrity of on-chip power delivery networks. Traditional Electronic Design Automation (EDA) tools have be…
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
Nicole Meng, Caleb Manicke, David Chen +4
Adversarial examples represent a serious issue for the application of machine learning models in many sensitive domains. For generating adversarial examples, decision based black-b…