| Analyzing Spammers’ Social Networks for Fun and Profit C Yang, R Harkreader, J Zhang, S Shin, G Gu Proc. World Wide Web, 16-20, 2012 | 383* | 2012 |
| Protecting intellectual property of deep neural networks with watermarking J Zhang, Z Gu, J Jang, H Wu, MP Stoecklin, H Huang, I Molloy Proceedings of the 2018 on Asia Conference on Computer and Communications …, 2018 | 279 | 2018 |
| Systematic mining of associated server herds for uncovering malware and attack campaigns J Zhang, S Saha, G Gu, SJ Lee, B Nardelli US Patent 9,088,598, 2015 | 90 | 2015 |
| Srid: State relation based intrusion detection for false data injection attacks in scada Y Wang, Z Xu, J Zhang, L Xu, H Wang, G Gu European symposium on research in computer security, 401-418, 2014 | 89 | 2014 |
| Verifiable Deep Learning Training Service Z Gu, H Huang, J Zhang, D Su, D Pendarakis, IM Molloy US Patent App. 16/124,657, 2020 | 77 | 2020 |
| Attacking the brain: Races in the {SDN} control plane L Xu, J Huang, S Hong, J Zhang, G Gu 26th USENIX Security Symposium (USENIX Security 17), 451-468, 2017 | 74 | 2017 |
| Securing input data of deep learning inference systems via partitioned enclave execution Z Gu, H Huang, J Zhang, D Su, A Lamba, D Pendarakis, I Molloy arXiv preprint arXiv:1807.00969, 2018 | 54* | 2018 |
| GoldenEye: Efficiently and Effectively Unveiling Malware’s Targeted Environment Z Xu, J Zhang, G Gu, Z Lin International Workshop on Recent Advances in Intrusion Detection, 22-45, 2014 | 45 | 2014 |
| A taste of tweets: reverse engineering Twitter spammers C Yang, J Zhang, G Gu Proceedings of the 30th Annual Computer Security Applications Conference, 86-95, 2014 | 33 | 2014 |
| Systematic mining of associated server herds for malware campaign discovery J Zhang, S Saha, G Gu, SJ Lee, M Mellia 2015 IEEE 35th International Conference on Distributed Computing Systems …, 2015 | 30 | 2015 |
| Precisely and scalably vetting javascript bridge in android hybrid apps G Yang, A Mendoza, J Zhang, G Gu International Symposium on Research in Attacks, Intrusions, and Defenses …, 2017 | 24 | 2017 |
| Identifying malicious web infrastructures X Hu, J Jang, T Wang, J Zhang US Patent 9,578,042, 2017 | 24 | 2017 |
| NEIGHBORWATCHER: A Content-Agnostic Comment Spam Inference System. J Zhang, G Gu NDSS, 2013 | 23 | 2013 |
| Autovac: Automatically extracting system resource constraints and generating vaccines for malware immunization Z Xu, J Zhang, G Gu, Z Lin 2013 IEEE 33rd International Conference on Distributed Computing Systems …, 2013 | 21 | 2013 |
| Poisonamplifier: A guided approach of discovering compromised websites through reversing search poisoning attacks J Zhang, C Yang, Z Xu, G Gu International Workshop on Recent Advances in Intrusion Detection, 230-253, 2012 | 20 | 2012 |
| Characterizing google hacking: A first large-scale quantitative study J Zhang, J Notani, G Gu International Conference on Security and Privacy in Communication Networks …, 2014 | 14 | 2014 |
| Hunting for invisibility: Characterizing and detecting malicious web infrastructures through server visibility analysis J Zhang, X Hu, J Jang, T Wang, G Gu, M Stoecklin IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 13 | 2016 |
| Reaching data confidentiality and model accountability on the caltrain Z Gu, H Jamjoom, D Su, H Huang, J Zhang, T Ma, D Pendarakis, I Molloy 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019 | 11 | 2019 |
| Understanding the market-level and network-level behaviors of the Android malware ecosystem C Yang, J Zhang, G Gu 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 8 | 2017 |
| Dressed up: Baiting attackers through endpoint service projection MP Stoecklin, J Zhang, F Araujo, T Taylor Proceedings of the 2018 ACM International Workshop on Security in Software …, 2018 | 7 | 2018 |
Guofei GuProfessor, Department of Computer Science & Engineering, Texas A&M UniversityZweryfikowany adres z cse.tamu.edu
