| Hiding in plain sight: A longitudinal study of combosquatting abuse P Kintis, N Miramirkhani, C Lever, Y Chen, R Romero-Gómez, ... Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 186 | 2017 |
| DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection Y Chen, Z Ding, L Alowain, X Chen, D Wagner International Symposium on Research in Attacks, Intrusions and Defenses …, 2023 | 123 | 2023 |
| Mixtrain: Scalable training of verifiably robust neural networks S Wang, Y Chen, A Abdou, S Jana arXiv preprint arXiv:1811.02625, 2018 | 105 | 2018 |
| Practical attacks against graph-based clustering Y Chen, Y Nadji, A Kountouras, F Monrose, R Perdisci, M Antonakakis, ... Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 104 | 2017 |
| Enabling network security through active DNS datasets A Kountouras, P Kintis, C Lever, Y Chen, Y Nadji, D Dagon, ... Research in Attacks, Intrusions, and Defenses: 19th International Symposium …, 2016 | 98 | 2016 |
| On Training Robust PDF Malware Classifiers Y Chen, S Wang, D She, S Jana USENIX Security Symposium 2020, 2020 | 95 | 2020 |
| Neutaint: Efficient Dynamic Taint Analysis with Neural Networks D She, Y Chen, B Ray, S Jana IEEE Symposium on Security and Privacy 2020, 2020 | 71 | 2020 |
| DNS noise: Measuring the pervasiveness of disposable domains in modern DNS traffic Y Chen, M Antonakakis, R Perdisci, Y Nadji, D Dagon, W Lee 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems …, 2014 | 70 | 2014 |
| Continuous Learning for Android Malware Detection Y Chen, Z Ding, D Wagner USENIX Security Symposium 2023, 2023 | 44 | 2023 |
| SEAT: Similarity encoder by adversarial training for detecting model extraction attack queries Z Zhang, Y Chen, D Wagner Proceedings of the 14th ACM Workshop on artificial intelligence and security …, 2021 | 40 | 2021 |
| Learning Security Classifiers with Verified Global Robustness Properties Y Chen, S Wang, Y Qin, X Liao, S Jana, D Wagner Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 37 | 2021 |
| Vulnerability Detection with Code Language Models: How Far Are We? Y Ding, Y Fu, O Ibrahim, C Sitawarin, X Chen, B Alomair, D Wagner, ... IEEE/ACM International Conference on Software Engineering (ICSE) 2025, 2024 | 30 | 2024 |
| Cost-Aware Robust Tree Ensembles for Security Applications Y Chen, S Wang, W Jiang, A Cidon, S Jana USENIX Security Symposium 2021, 2020 | 27* | 2020 |
| On the feasibility of large-scale infections of ios devices T Wang, Y Jang, Y Chen, S Chung, B Lau, W Lee 23rd USENIX Security Symposium (USENIX Security 14), 79-93, 2014 | 24 | 2014 |
| Financial Lower Bounds of Online Advertising Abuse: A Four Year Case Study of the TDSS/TDL4 Botnet Y Chen, P Kintis, M Antonakakis, Y Nadji, D Dagon, W Lee, M Farrell Detection of Intrusions and Malware, and Vulnerability Assessment: 13th …, 2016 | 21 | 2016 |
| Measuring lower bounds of the financial abuse to online advertisers: A four year case study of the TDSS/TDL4 botnet Y Chen, P Kintis, M Antonakakis, Y Nadji, D Dagon, M Farrell Computers & Security 67, 164-180, 2017 | 12 | 2017 |
| Part-Based Models Improve Adversarial Robustness C Sitawarin, K Pongmala, Y Chen, N Carlini, D Wagner International Conference on Learning Representations 2023, 2022 | 11 | 2022 |
| Enhancing gradient-based attacks with symbolic intervals S Wang, Y Chen, A Abdou, S Jana ICML Workshop on Security and Privacy of Machine Learning, 2019 | 11 | 2019 |
| FeatNet: large-scale fraud device detection by network representation learning with rich features C Xu, Z Feng, Y Chen, M Wang, T Wei Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security …, 2018 | 10 | 2018 |
| Measuring network reputation in the ad-bidding process Y Chen, Y Nadji, R Romero-Gómez, M Antonakakis, D Dagon Detection of Intrusions and Malware, and Vulnerability Assessment: 14th …, 2017 | 10 | 2017 |
Manos AntonakakisGeorgia Institute of Technology確認したメール アドレス: gatech.edu