Articles with public access mandates - Hojjat AghakhaniLearn more
Available somewhere: 9
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
Mandates: US National Science Foundation, US Department of Defense, European Commission
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
Mandates: US Department of Defense
Detecting Deceptive Reviews using Generative Adversarial Networks
H Aghakhani, A Machiry, S Nilizadeh, C Kruegel, G Vigna
IEEE Security and Privacy Workshops (SPW), 2018
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense, Netherlands …
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
Mandates: US National Science Foundation, German Research Foundation
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
H Aghakhani, W Dai, A Manoel, X Fernandes, A Kharkar, C Kruegel, ...
arXiv preprint arXiv:2301.02344, 2023
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
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