Kang Liu - RankMe

26 papers A* 3A 2B 1C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ILOSSS - Improved Logic Synthesis based on Several Stateful Logic Gates. ACM Trans. Design Autom. Electr. Syst. Nuo Xu, Yihong Hu, Chaochao Feng, Wei Tong, Kang Liu, Liang Fang
2025	J	`jnl`	Interpretable CNN-Based Lithographic Hotspot Detection Through Error Marker Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Haoyang Sun, Cong Jiang, Xun Ye, Dan Feng, Benjamin Tan, Yuzhe Ma, Kang Liu
2025	J	`jnl`	LithoExp: Explainable Two-stage CNN-based Lithographic Hotspot Detection with Layout Defect Localization. ACM Trans. Design Autom. Electr. Syst. Cong Jiang, Haoyang Sun, Dan Feng, Zhiyao Xie, Benjamin Tan, Kang Liu
2024	A*	`conf`	CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. DAC Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma
2024	J	`jnl`	CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. CoRR Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma
2024	B	`conf`	LOSSS-Logic Synthesis based on Several Stateful logic gates for high time-efficient computing. ASPDAC Yihong Hu, Nuo Xu, Chaochao Feng, Wei Tong, Kang Liu, Liang Fang
2024	J	`jnl`	Manipulation Attacks on Learned Image Compression. IEEE Trans. Artif. Intell. Kang Liu, Di Wu, Yangyu Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg
2023	C	`conf`	Accelerating Persistent Hash Indexes via Reducing Negative Searches. ICCD Renzhi Xiao, Hong Jiang, Dan Feng, Yuchong Hu, Wei Tong, Kang Liu, Yucheng Zhang, Xueliang Wei, Zhengtao Li
2022	J	`jnl`	Denial-of-Service Attacks on Learned Image Compression. CoRR Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg
2021	—	`conf`	Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young
2021	J	`jnl`	Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri
2021	—	`conf`	Can We Trust Machine Learning for Electronic Design Automation? SoCC Kang Liu, Jeff Jun Zhang, Benjamin Tan, Dan Feng
2021	—	`conf`	NNoculation: Catching BadNets in the Wild. AISec@CCS Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
2021	A*	`conf`	Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. AAAI Kang Liu, Benjamin Tan, Siddharth Garg
2021	J	`jnl`	Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg
2020	J	`jnl`	Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg
2020	J	`jnl`	Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks. CoRR Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri
2020	J	`jnl`	NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
2020	A	`conf`	Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots. DATE Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg
2020	J	`jnl`	Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. CoRR Kang Liu, Benjamin Tan, Siddharth Garg
2019	J	`jnl`	Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg
2019	J	`jnl`	BadNets: Evaluating Backdooring Attacks on Deep Neural Networks. IEEE Access Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
2019	A*	`conf`	Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg
2018	A	`conf`	Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. RAID Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
2018	J	`jnl`	Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. CoRR Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
2013	J	`jnl`	An Energy-Efficient Cyclic Diversionary Routing Strategy against Global Eavesdroppers in Wireless Sensor Networks. Int. J. Distributed Sens. Networks Ju Ren, Yaoxue Zhang, Kang Liu