| Fine-pruning: Defending against backdooring attacks on deep neural networks K Liu, B Dolan-Gavitt, S Garg International Symposium on Research in Attacks, Intrusions, and Defenses …, 2018 | 433 | 2018 |
| Badnets: Evaluating backdooring attacks on deep neural networks T Gu, K Liu, B Dolan-Gavitt, S Garg IEEE Access 7, 47230-47244, 2019 | 346 | 2019 |
| NNoculation: Catching BadNets in the wild AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021 | 36* | 2021 |
| Building robust machine learning systems: Current progress, research challenges, and opportunities JJ Zhang, K Liu, F Khalid, MA Hanif, S Rehman, T Theocharides, A Artussi, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019 | 26 | 2019 |
| An energy-efficient cyclic diversionary routing strategy against global eavesdroppers in wireless sensor networks J Ren, Y Zhang, K Liu International Journal of Distributed Sensor Networks 9 (4), 834245, 2013 | 25 | 2013 |
| Adversarial perturbation attacks on ML-based CAD: A case study on CNN-based lithographic hotspot detection K Liu, H Yang, Y Ma, B Tan, B Yu, EFY Young, R Karri, S Garg ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (5 …, 2020 | 18 | 2020 |
| Poisoning the (data) well in ML-based CAD: A case study of hiding lithographic hotspots K Liu, B Tan, R Karri, S Garg 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 306-309, 2020 | 17 | 2020 |
| Secret key generation using physical channels with imperfect CSI S Primak, K Liu, X Wang 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 1-5, 2014 | 17 | 2014 |
| Multiple k-hop clusters based routing scheme to preserve source-location privacy in WSNs J Ren, Y Zhang, K Liu Journal of Central South University 21 (8), 3155-3168, 2014 | 8 | 2014 |
| Bias busters: Robustifying dl-based lithographic hotspot detectors against backdooring attacks K Liu, B Tan, GR Reddy, S Garg, Y Makris, R Karri IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 7 | 2020 |
| Lack of robustness of lidar-based deep learning systems to small adversarial perturbations N Patel, K Liu, P Krishnamurthy, S Garg, F Khorrami ISR 2018; 50th International Symposium on Robotics, 1-7, 2018 | 7 | 2018 |
| On secret key generation from multiple observations of wireless channels K Liu, S Primak, X Wang 2014 IEEE International Conference on Communication Systems, 147-151, 2014 | 6 | 2014 |
| Attacking a cnn-based layout hotspot detector using group gradient method H Yang, S Zhang, K Liu, S Liu, B Tan, R Karri, S Garg, B Yu, EFY Young 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 885-891, 2021 | 3 | 2021 |
| Training data poisoning in ml-cad: Backdooring dl-based lithographic hotspot detectors K Liu, B Tan, R Karri, S Garg IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 2 | 2020 |
| On enhancements of physical layer secret key generation and its application in wireless communication systems K Liu | 2 | 2015 |
| Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images K Liu, B Tan, S Garg Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14849 …, 2021 | 1 | 2021 |
| Robust Computing for Machine Learning-Based Systems MA Hanif, F Khalid, RVW Putra, MT Teimoori, F Kriebel, JJ Zhang, K Liu, ... Dependable Embedded Systems, 479-503, 2021 | 1 | 2021 |
| Denial-of-Service Attacks on Learned Image Compression K Liu, D Wu, Y Wang, D Feng, B Tan, S Garg arXiv preprint arXiv:2205.13253, 2022 | | 2022 |
| Can We Trust Machine Learning for Electronic Design Automation? K Liu, JJ Zhang, B Tan, D Feng 2021 IEEE 34th International System-on-Chip Conference (SOCC), 135-140, 2021 | | 2021 |
| Understanding and Mitigating the Impact of Backdooring Attacks on Deep Neural Networks K Liu New York University Tandon School of Engineering, 2021 | | 2021 |
Siddharth GargNew York UniversityVerified email at nyu.edu
