Kang Liu

According to our database, Kang Liu authored at least 20 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Interpretable CNN-Based Lithographic Hotspot Detection Through Error Marker Learning.

Haoyang Sun, Cong Jiang, Xun Ye, Dan Feng, Benjamin Tan, Yuzhe Ma, Kang Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2025

2024

Manipulation Attacks on Learned Image Compression.

Kang Liu, Di Wu, Yangyu Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg

IEEE Trans. Artif. Intell., June, 2024

CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning.

Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

LOSSS-Logic Synthesis based on Several Stateful logic gates for high time-efficient computing.

Yihong Hu, Nuo Xu, Chaochao Feng, Wei Tong, Kang Liu, Liang Fang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Accelerating Persistent Hash Indexes via Reducing Negative Searches.

Renzhi Xiao, Hong Jiang, Dan Feng, Yuchong Hu, Wei Tong, Kang Liu, Yucheng Zhang, Xueliang Wei, Zhengtao Li

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

Denial-of-Service Attacks on Learned Image Compression.

Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg

CoRR, 2022

2021

Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks.

Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors.

Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Can We Trust Machine Learning for Electronic Design Automation?

Kang Liu, Jeff Jun Zhang, Benjamin Tan, Dan Feng

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

NNoculation: Catching BadNets in the Wild.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method.

Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images.

Kang Liu, Benjamin Tan, Siddharth Garg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection.

Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg

ACM Trans. Design Autom. Electr. Syst., 2020

NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

CoRR, 2020

Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots.

Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection.

Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg

CoRR, 2019

BadNets: Evaluating Backdooring Attacks on Deep Neural Networks.

Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg

IEEE Access, 2019

Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities.

Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks.

Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

2013

An Energy-Efficient Cyclic Diversionary Routing Strategy against Global Eavesdroppers in Wireless Sensor Networks.

Ju Ren, Yaoxue Zhang, Kang Liu

Int. J. Distributed Sens. Networks, 2013