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Evaluating Fuzz Testing
Our results showed that the general problems we found in existing experimental evaluations can indeed translate to actual wrong or misleading assessments.
Cryptography and Security
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning
Governments and businesses increasingly rely on data analytics and machine learning (ML) for improving their competitive edge in areas such as consumer satisfaction, threat intelligence, decision making, and product efficiency.
Argumentation Models for Cyber Attribution
A major challenge in cyber-threat analysis is combining information from different sources to find the person or the group responsible for the cyber-attack.
