13 citations · 35 across the 10 of their papers we have counts for
14 papers
Anti-Malware Sandbox Games
Sujoy Sikdar, Sikai Ruan, Qishen Han +4
We develop a game theoretic model of malware protection using the state-of-the-art sandbox method, to characterize and compute optimal defense strategies for anti-malware. We model…
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Daniel Park, Haidar Khan, Azer Khan +2
Adversarial examples pose a threat to deep neural network models in a variety of scenarios, from settings where the adversary has complete knowledge of the model in a "white box" s…
The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective
Arun Baskaran, Elizabeth J. Kautz, Aritra Chowdhary +3
The recent surge in the adoption of machine learning techniques for materials design, discovery, and characterization has resulted in an increased interest and application of Image…
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording
Zaid Bin Tariq, Arun Iyengar, Lara Marcuse +2
Electroencephalogram (EEG) is a prominent way to measure the brain activity for studying epilepsy, thereby helping in predicting seizures. Seizure prediction is an active research…
A survey on practical adversarial examples for malware classifiers
Daniel Park, Bülent Yener
Machine learning based solutions have been very helpful in solving problems that deal with immense amounts of data, such as malware detection and classification. However, deep neur…
Towards Obfuscated Malware Detection for Low Powered IoT Devices
Daniel Park, Hannah Powers, Benji Prashker +2
With the increased deployment of IoT and edge devices into commercial and user networks, these devices have become a new threat vector for malware authors. It is imperative to prot…