Integrating evolutionary game theory into an agent-based model of ductal carcinoma in situ: Role of gap junctions in cancer progression. - Negin Malekian; Jafar Habibi; Mohammad Hossein Zangooei; Hojjat Aghakhani (Comput. Methods Programs Biomed., 2016)

Detecting Deceptive Reviews Using Generative Adversarial Networks. - Hojjat Aghakhani; Aravind Machiry; Shirin Nilizadeh; Christopher Kruegel; Giovanni Vigna (IEEE Symposium on Security and Privacy Workshops, 2018)

Neurlux: dynamic malware analysis without feature engineering. - Chani Jindal; Christopher Salls; Hojjat Aghakhani; Keith Long; Christopher Kruegel; Giovanni Vigna (ACSAC, 2019)

Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis. - Shirin Nilizadeh; Hojjat Aghakhani; Eric Gustafson; Christopher Kruegel; Giovanni Vigna (WWW, 2019)

Lightning Talk - Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis. - Shirin Nilizadeh; Hojjat Aghakhani; Eric Gustafson; Christopher Kruegel; Giovanni Vigna (WWW (Companion Volume), 2019)

When Malware is Packin' Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features. - Hojjat Aghakhani; Fabio Gritti; Francesco Mecca; Martina Lindorfer; Stefano Ortolani; Davide Balzarotti; Giovanni Vigna; Christopher Kruegel (NDSS, 2020)

VENOMAVE: Clean-Label Poisoning Against Speech Recognition. - Hojjat Aghakhani; Thorsten Eisenhofer; Lea Schönherr; Dorothea Kolossa; Thorsten Holz; Christopher Kruegel; Giovanni Vigna (CoRR, 2020)

Bran: Reduce Vulnerability Search Space in Large Open Source Repositories by Learning Bug Symptoms. - Dongyu Meng; Michele Guerriero; Aravind Machiry; Hojjat Aghakhani; Priyanka Bose; Andrea Continella; Christopher Kruegel; Giovanni Vigna (AsiaCCS, 2021)

Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability. - Hojjat Aghakhani; Dongyu Meng; Yu-Xiang Wang 003; Christopher Kruegel; Giovanni Vigna (EuroS&P, 2021)

One Size Does Not Fit All: A Longitudinal Analysis of Brazilian Financial Malware. - Marcus Botacin; Hojjat Aghakhani; Stefano Ortolani; Christopher Kruegel; Giovanni Vigna; Daniela Oliveira 001; Paulo Lício de Geus; André Grégio (ACM Trans. Priv. Secur., 2021)

DEEPCASE: Semi-Supervised Contextual Analysis of Security Events. - Thijs van Ede; Hojjat Aghakhani; Noah Spahn; Riccardo Bortolameotti; Marco Cova; Andrea Continella; Maarten van Steen; Andreas Peter 001; Christopher Kruegel; Giovanni Vigna (SP, 2022)

Venomave: Targeted Poisoning Against Speech Recognition. - Hojjat Aghakhani; Lea Schönherr; Thorsten Eisenhofer; Dorothea Kolossa; Thorsten Holz; Christopher Kruegel; Giovanni Vigna (SaTML, 2023)

Machine Learning and Security in Adversarial Settings - Hojjat Aghakhani (2023)

DEEPCAPA: Identifying Malicious Capabilities in Windows Malware. - Saastha Vasan; Hojjat Aghakhani; Stefano Ortolani; Roman Vasilenko; Ilya Grishchenko; Christopher Kruegel; Giovanni Vigna (ACSAC, 2024)

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. - Hojjat Aghakhani; Wei Dai 007; Andre Manoel; Xavier Fernandes; Anant Kharkar; Christopher Kruegel; Giovanni Vigna; David Evans 001; Ben Zorn 001; Robert Sim (SP, 2024)