| When Malware is Packin’ Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features H Aghakhani, F Gritti, F Mecca, M Lindorfer, S Ortolani, D Balzarotti, ... NDSS, 2020 | 167 | 2020 |
| Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability H Aghakhani, D Meng, YX Wang, C Kruegel, G Vigna 2021 IEEE European Symposium on Security and Privacy (EuroS&P), 159-178, 2021 | 127 | 2021 |
| Detecting Deceptive Reviews using Generative Adversarial Networks H Aghakhani, A Machiry, S Nilizadeh, C Kruegel, G Vigna IEEE Security and Privacy Workshops (SPW), 2018 | 115* | 2018 |
| Deepcase: Semi-supervised contextual analysis of security events T Van Ede, H Aghakhani, N Spahn, R Bortolameotti, M Cova, A Continella, ... 2022 IEEE Symposium on Security and Privacy (SP), 522-539, 2022 | 83 | 2022 |
| Neurlux: dynamic malware analysis without feature engineering C Jindal, C Salls, H Aghakhani, K Long, C Kruegel, G Vigna Proceedings of the 35th Annual Computer Security Applications Conference …, 2019 | 80 | 2019 |
| VENOMAVE: Targeted Poisoning Against Speech Recognition H Aghakhani, T Eisenhofer, L Schönherr, D Kolossa, T Holz, C Kruegel, ... IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)., 2023 | 37* | 2023 |
| Trojanpuzzle: Covertly poisoning code-suggestion models H Aghakhani, W Dai, A Manoel, X Fernandes, A Kharkar, C Kruegel, ... 2024 IEEE Symposium on Security and Privacy (SP), 1122-1140, 2024 | 35 | 2024 |
| Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis S Nilizadeh, H Aghakhani, E Gustafson, C Kruegel, G Vigna The World Wide Web Conference, 3108-3115, 2019 | 27 | 2019 |
| One Size Does Not Fit All: A Longitudinal Analysis of Brazilian Financial Malware M Botacin, H Aghakhani, S Ortolani, C Kruegel, G Vigna, D Oliveira, ... ACM Transactions on Privacy and Security (TOPS) 24 (2), 1-31, 2021 | 26 | 2021 |
| Integrating evolutionary game theory into an agent-based model of ductal carcinoma in situ: Role of gap junctions in cancer progression N Malekian, J Habibi, MH Zangooei, H Aghakhani Computer Methods and Programs in Biomedicine 136, 107-117, 2016 | 14 | 2016 |
| Lightning Talk-Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis S Nilizadeh, H Aghakhani, E Gustafson, C Kruegel, G Vigna Companion Proceedings of The 2019 World Wide Web Conference, 1288-1289, 2019 | 3 | 2019 |
| Bran: Reduce Vulnerability Search Space in Large Open Source Repositories by Learning Bug Symptoms D Meng, M Guerriero, A Machiry, H Aghakhani, P Bose, A Continella, ... Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021 | 2 | 2021 |
| Towards Automatically Generating a Sound and Complete Dataset for Evaluating Static Analysis Tools A Machiry, N Redini, E Gustafson, H Aghakhani, C Kruegel, G Vigna Workshop on Binary Analysis Research (BAR), 2019 | 2 | 2019 |
| Machine Learning and Security in Adversarial Settings H Aghakhani University of California, Santa Barbara, 2023 | | 2023 |
| DSML 2023 Committee L Yang, M Jagielski, H Alemzadeh, R Bobba, V Chandrasekaran, ... | | |
| When Malware is Packin’Heat H Aghakhani | | |
Giovanni VignaUC Santa Barbara and VMwareVerified email at cs.ucsb.edu
