27 citations · 33 across the 7 of their papers we have counts for
7 papers
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini
The unprecedented availability of training data fueled the rapid development of powerful neural networks in recent years. However, the need for such large amounts of data leads to…
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari +4
Training high-quality deep learning models is a challenging task due to computational and technical requirements. A growing number of individuals, institutions, and companies incre…
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks
Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj +6
The easy and accurate identification of varieties is fundamental in agriculture, especially in the olive sector, where more than 1200 olive varieties are currently known worldwide.…
DOLOS: A Novel Architecture for Moving Target Defense
Giulio Pagnotta, Fabio De Gaspari, Dorjan Hitaj +3
Moving Target Defense and Cyber Deception emerged in recent years as two key proactive cyber defense approaches, contrasting with the static nature of the traditional reactive cybe…
Minerva: A File-Based Ransomware Detector
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari +2
Ransomware attacks have caused billions of dollars in damages in recent years, and are expected to cause billions more in the future. Consequently, significant effort has been devo…
PassFlow: Guessing Passwords with Generative Flows
Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari +1
Recent advances in generative machine learning models rekindled research interest in the area of password guessing. Data-driven password guessing approaches based on GANs, language…
Know Your Enemy: Stealth Configuration-Information Gathering in SDN
Mauro Conti, Fabio De Gaspari, Luigi V. Mancini
Software Defined Networking (SDN) is a network architecture that aims at providing high flexibility through the separation of the network logic from the forwarding functions. The i…