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03/01/2023
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks
The easy and accurate identification of varieties is fundamental in agri...
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03/01/2023
DOLOS: A Novel Architecture for Moving Target Defense
Moving Target Defense and Cyber Deception emerged in recent years as two...
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01/26/2023
Minerva: A File-Based Ransomware Detector
Ransomware is a rapidly evolving type of malware designed to encrypt use...
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02/12/2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding
The proliferation of deep learning applications in several areas has led...
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01/21/2022
FedComm: Federated Learning as a Medium for Covert Communication
Proposed as a solution to mitigate the privacy implications related to t...
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05/13/2021
PassFlow: Guessing Passwords with Generative Flows
Recent advances in generative machine learning models rekindled research...
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03/31/2021
Reliable Detection of Compressed and Encrypted Data
Several cybersecurity domains, such as ransomware detection, forensics a...
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03/02/2021
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training
In this technical report, we evaluate the adversarial robustness of a ve...
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10/30/2020
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
To this date, CAPTCHAs have served as the first line of defense preventi...
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10/15/2020
EnCoD: Distinguishing Compressed and Encrypted File Fragments
Reliable identification of encrypted file fragments is a requirement for...
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11/06/2019
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes
Recent progress in machine learning has generated promising results in b...
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09/03/2018
