7 citations · 8 across the 3 of their papers we have counts for
8 papers
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta +2
Several cybersecurity domains, such as ransomware detection, forensics and data analysis, require methods to reliably identify encrypted data fragments. Typically, current approach…
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training
Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi +1
In this technical report, we evaluate the adversarial robustness of a very recent method called "Geometry-aware Instance-reweighted Adversarial Training"[7]. GAIRAT reports state-o…
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
Dorjan Hitaj, Briland Hitaj, Sushil Jajodia +1
To this date, CAPTCHAs have served as the first line of defense preventing unauthorized access by (malicious) bots to web-based services, while at the same time maintaining a troub…
EnCoD: Distinguishing Compressed and Encrypted File Fragments
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta +2
Reliable identification of encrypted file fragments is a requirement for several security applications, including ransomware detection, digital forensics, and traffic analysis. A p…
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta +2
Recent progress in machine learning has generated promising results in behavioral malware detection. Behavioral modeling identifies malicious processes via features derived by thei…
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Dorjan Hitaj, Luigi V. Mancini
Deep neural networks have had enormous impact on various domains of computer science, considerably outperforming previous state of the art machine learning techniques. To achieve t…