Search Results for author: Octavian Suciu

Found 4 papers, 1 papers with code

Exploring Adversarial Examples in Malware Detection

no code implementations18 Oct 2018 Octavian Suciu, Scott E. Coull, Jeffrey Johns

By training an existing model on a production-scale dataset, we show that some previous attacks are less effective than initially reported, while simultaneously highlighting architectural weaknesses that facilitate new attack strategies for malware classification.

Feature Engineering General Classification +1

Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

no code implementations19 Mar 2018 Octavian Suciu, Radu Mărginean, Yiğitcan Kaya, Hal Daumé III, Tudor Dumitraş

Our model allows us to consider a wide range of weaker adversaries who have limited control and incomplete knowledge of the features, learning algorithms and training instances utilized.

BIG-bench Machine Learning

Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning

no code implementations17 Jan 2017 Rock Stevens, Octavian Suciu, Andrew Ruef, Sanghyun Hong, Michael Hicks, Tudor Dumitraş

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.

BIG-bench Machine Learning Decision Making

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