41 citations · 74 across the 6 of their papers we have counts for
7 papers
Attacking Split Manufacturing from a Deep Learning Perspective
Haocheng Li, Satwik Patnaik, Abhrajit Sengupta +5
The notion of integrated circuit split manufacturing which delegates the front-end-of-line (FEOL) and back-end-of-line (BEOL) parts to different foundries, is to prevent overproduc…
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix)
Grace Li Zhang, Bing Li, Meng Li +5
With recent advances in reverse engineering, attackers can reconstruct a netlist to counterfeit chips by opening the die and scanning all layers of authentic chips. This relatively…
VLSI Mask Optimization: From Shallow To Deep Learning
Haoyu Yang, Wei Zhong, Yuzhe Ma +4
VLSI mask optimization is one of the most critical stages in manufacturability aware design, which is costly due to the complicated mask optimization and lithography simulation. Re…
CAD Tool Design Space Exploration via Bayesian Optimization
Yuzhe Ma, Ziyang Yu, Bei Yu
The design complexity is increasing as the technology node keeps scaling down. As a result, the electronic design automation (EDA) tools also become more and more complex. There ar…
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Haoyu Yang, Wen Chen, Piyush Pathak +3
Machine learning-based lithography hotspot detection has been deeply studied recently, from varies feature extraction techniques to efficient learning models. It has been observed…
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…