35 citations · 65 across the 6 of their papers we have counts for
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cs.LG2020★ 2 cited
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy +3
Deep learning (DL) offers potential improvements throughout the CAD tool-flow, one promising application being lithographic hotspot detection. However, DL techniques have been show…
cs.LG2019★ 11 cited
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
Kang Liu, Haoyu Yang, Yuzhe Ma +5
There is substantial interest in the use of machine learning (ML) based techniques throughout the electronic computer-aided design (CAD) flow, particularly those based on deep lear…