| Malicious PDF detection using metadata and structural features C Smutz, A Stavrou Proceedings of the 28th annual computer security applications conference …, 2012 | 383 | 2012 |
| When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors. C Smutz, A Stavrou NDSS, 2016 | 112 | 2016 |
| Sage advice? The impacts of explanations for machine learning models on human decision-making in spam detection MC Stites, M Nyre-Yu, B Moss, C Smutz, MR Smith International Conference on Human-Computer Interaction, 269-284, 2021 | 18 | 2021 |
| Preventing exploits in microsoft office documents through content randomization C Smutz, A Stavrou Research in Attacks, Intrusions, and Defenses: 18th International Symposium …, 2015 | 11 | 2015 |
| Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment. M Nyre-Yu, E Morris, M Smith, B Moss, C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | 9 | 2022 |
| Considerations for Deploying xAI Tools in the Wild: Lessons Learned from xAI Deployment in a Cybersecurity Operations Setting. M Nyre-Yu, ES Morris, BC Moss, C Smutz, M Smith Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 6 | 2021 |
| Laika boss: Scalable file-centric malware analysis and intrusion detection system M Arnao, C Smutz, A Zollman, A Richardson, E Hutchins | 6 | 2015 |
| SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning. MR Smith, E Acquesta, A Ames, AN Carey, CR Cuellar, RV Field, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 3 | 2021 |
| Discerning machine learning degradation via ensemble classifier mutual agreement analysis C Smutz, A Stavrou George Mason University Technical Report, 2015 | 3 | 2015 |
| Document Content Layout Based Exploit Protections C Smutz, A Stavrou | 1 | 2014 |
| Automated Generation of Malware Metadata Signatures JN Schott, C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2024 | | 2024 |
| Automatic Malware Signature Generation J Woods, C Smutz, JN Schott Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023 | | 2023 |
| Assessing the Fidelity of Explanations with Global Sensitivity Analysis. M Smith, E Acquesta, C Smutz, B Moss, A Rushdi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| gait C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment. E Morris, M Nyre-Yu, M Smith, B Moss, C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| and Michael R. Smith Sandia National Laboratories, Albuquerque, NM 87185, USA mcstite@ sandia. gov MC Stites, M Nyre-Yu, B Moss, C Smutz Artificial Intelligence in HCI: Second International Conference, AI-HCI 2021 …, 2021 | | 2021 |
| Laika BOSS (Binary Object Scanning System) G Walkup, E Walkup, C Smutz, C Nebergall, W Lee, J Gallagher, K Coia, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Assessing the Accuracy of ML Explanations for Model Credibility. MR Smith, E Acquesta, AL Ames, BC Moss, T Maxfield, M Nyre-Yu, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| sandialabs/xyz C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Capstone Project Proposal: Extending Obfuscated Pattern Matching in Yara. C Smutz Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
Angelos StavrouProfessor at Virginia TechVerified email at vt.edu
