2 citations · 2 across the 2 of their papers we have counts for
4 papers
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
Kang Liu, Benjamin Tan, Siddharth Garg
Unprecedented data collection and sharing have exacerbated privacy concerns and led to increasing interest in privacy-preserving tools that remove sensitive attributes from images…
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…
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…
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
Deep neural networks (DNNs) provide excellent performance across a wide range of classification tasks, but their training requires high computational resources and is often outsour…