37 citations · 49 across the 4 of their papers we have counts for
4 papers
Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing
Marcus Botacin, André Grégio
Malware and other suspicious software often hide behaviors and components behind logic bombs and context-sensitive execution paths. Uncovering these is essential to react against m…
Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin, Marcus Botacin, Albert Bifet +4
Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-the-art for solving many of the open issues in that field. However, it is very difficult t…
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis +6
A promising avenue for improving the effectiveness of behavioral-based malware detectors would be to combine fast traditional machine learning detectors with high-accuracy, but tim…
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun, Xiaoyong Yuan, Pan He +5
Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead. In this paper, we introduce PROPEDEUTICA, a framework…