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ORCIDKang Liu 0017
Person information
- affiliation: New York University, Brooklyn, NY, USA
Other persons with the same name
- Kang Liu — disambiguation page
- Kang Liu 0001
![[0000-0002-6083-8433]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6083-8433")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China - Kang Liu 0002 — Leibniz Universität Hannover, Germany
- Kang Liu 0003 — Wuhan University, School of Remote Sensing and Information Engineering, CVRS Lab, China
- Kang Liu 0004 — Central South University, Hunan, China
- Kang Liu 0005 — University of Western Ontario London, Canada
- Kang Liu 0006 — China University of Petroleum, Qingdao, China
- Kang Liu 0007 — Harbin Engineering University, China
- Kang Liu 0008 — University of Mining and Technology, Beijing, China
- Kang Liu 0009 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Kang Liu 0010 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China
- Kang Liu 0011 — Guangdong University of Foreign Studies, School of Business, Guangzhou, China (and 1 more)
- Kang Liu 0012 — German Aerospace Center, Remote Sensing Technology Institute, Wessling, Germany
- Kang Liu 0013 — City University of Hong Kong, Department of Building and Construction, Hong Kong
- Kang Liu 0014 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, OPTIMAL, China
- Kang Liu 0015 — Xidian University, National Key Lab for Radar Signal Processing / Institute of Intelligent Information Processing, Xi'an, China
- Kang Liu 0016 — Beijing University of Posts and Telecommunications, Department of Automation, China
- Kang Liu 0018 — Henan University of Science and Technology, College of Information Engineering, Luoyang, China
- Kang Liu 0019 — Northwestern Polytechnical University, MOE Key Laboratory of Micro/Nano Systems for Aerospace, Xi'an, China
- Kang Liu 0020 — Chinese Academy of Sciences, Engineering Center for Space Utilization, Beijing, China
- Kang Liu 0021 — Nanjing University of Posts and Telecommunications, Department of Telecommunication and Information Engineering, China
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2020 – today
- 2024
[j6]Kang Liu, Di Wu, Yangyu Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Manipulation Attacks on Learned Image Compression. IEEE Trans. Artif. Intell. 5(6): 3083-3097 (2024)- [i7]Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma:
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. CoRR abs/2404.00980 (2024) - 2023
- [c8]Renzhi Xiao, Hong Jiang, Dan Feng, Yuchong Hu, Wei Tong, Kang Liu, Yucheng Zhang, Xueliang Wei, Zhengtao Li:
Accelerating Persistent Hash Indexes via Reducing Negative Searches. ICCD 2023: 174-181 - 2022
- [i6]Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Denial-of-Service Attacks on Learned Image Compression. CoRR abs/2205.13253 (2022) - 2021
- [j5]Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1244-1257 (2021) - [j4]Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2077-2089 (2021) - [c7]Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. AAAI 2021: 14849-14856 - [c6]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c5]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - [c4]Kang Liu, Jeff Jun Zhang, Benjamin Tan, Dan Feng:
Can We Trust Machine Learning for Electronic Design Automation? SoCC 2021: 135-140 - 2020
- [j3]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c3]Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots. DATE 2020: 306-309 - [i5]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR abs/2002.08313 (2020) - [i4]Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks. CoRR abs/2004.12492 (2020) - [i3]Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. CoRR abs/2009.09283 (2020)
2010 – 2019
- 2019
- [j2]Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks. IEEE Access 7: 47230-47244 (2019) - [c2]Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg:
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC 2019: 175 - [i2]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR abs/1906.10773 (2019) - 2018
- [c1]Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. RAID 2018: 273-294 - [i1]Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. CoRR abs/1805.12185 (2018) - 2013
- [j1]Ju Ren, Yaoxue Zhang, Kang Liu:
An Energy-Efficient Cyclic Diversionary Routing Strategy against Global Eavesdroppers in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
Coauthor Index
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