Identification of anomalous network security token usage via clustering and density estimation. - Richard E. Harang; William J. Glodek (CISS, 2012)

Clustering of Snort alerts to identify patterns and reduce analyst workload. - Richard E. Harang; Peter Guarino (MILCOM, 2012)

Limitations to threshold random walk scan detection and mitigating enhancements. - Peter Mell; Richard E. Harang (CNS, 2013)

Rapid Permissions-Based Detection and Analysis of Mobile Malware Using Random Decision Forests. - William J. Glodek; Richard E. Harang (MILCOM, 2013)

Lightweight Packing of Log Files for Improved Compression in Mobile Tactical Networks. - Peter Mell; Richard E. Harang (MILCOM, 2014)

Using Network Tainting to Bound the Scope of Network Ingress Attacks. - Peter Mell; Richard E. Harang (SERE, 2014)

Bridging the Semantic Gap: Human Factors in Anomaly-Based Intrusion Detection Systems. - Richard E. Harang (Network Science and Cybersecurity, 2014)

Learning and Semantics. - Richard E. Harang (Cyber Defense and Situational Awareness, 2014)

Defensive Resource Allocations with Security Chokepoints in IPv6 Networks. - Assane Gueye; Peter Mell; Richard E. Harang; Richard J. La (DBSec, 2015)

A framework to evaluate cyber agility. - Lisa M. Marvel; Scott E. Brown; Iulian Neamtiu; Richard E. Harang; David Harman; Brian Henz (MILCOM, 2015)

Grammatical Inference and Language Frameworks for LANGSEC. - Kerry N. Wood; Richard E. Harang (IEEE Symposium on Security and Privacy Workshops, 2015)

De-anonymizing Programmers via Code Stylometry. - Aylin Caliskan Islam; Richard E. Harang; Andrew Liu; Arvind Narayanan; Clare R. Voss; Fabian Yamaguchi; Rachel Greenstadt (USENIX Security Symposium, 2015)

Evasion-resistant network scan detection. - Richard E. Harang; Peter Mell (Secur. Informatics, 2015)

Micro-signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection. - Richard E. Harang; Peter Mell (FPS, 2016)

Measuring and Improving the Effectiveness of Defense-in-Depth Postures. - Peter Mell; James M. Shook; Richard E. Harang (ICSS, 2016)

Crafting adversarial input sequences for recurrent neural networks. - Nicolas Papernot; Patrick D. McDaniel; Ananthram Swami; Richard E. Harang (MILCOM, 2016)

Slowing the spread of Bluetooth-based malware in mobile tactical networks. - Brian Thompson; James R. Morris-King; Richard E. Harang (MILCOM, 2016)

A Fast Kernel for Attributed Graphs. - Yu Su 001; Fangqiu Han; Richard E. Harang; Xifeng Yan (SDM, 2016)

Grammatical Inference and Machine Learning Approaches to Post-Hoc LangSec. - Sheridan S. Curley; Richard E. Harang (IEEE Symposium on Security and Privacy Workshops, 2016)

Identifying Key Cyber-Physical Terrain. - Brian Thompson; Richard E. Harang (IWSPA@CODASPY, 2017)

Source Code Authorship Attribution Using Long Short-Term Memory Based Networks. - Bander Alsulami; Edwin Dauber; Richard E. Harang; Spiros Mancoridis; Rachel Greenstadt (ESORICS (1), 2017)

Machine learning in malware traffic classifications. - Ken F. Yu; Richard E. Harang (MILCOM, 2017)

Identifying Key Cyber-Physical Terrain (Extended Version). - Brian Thompson; Richard E. Harang (CoRR, 2017)

Linear Time Algorithms to Restrict Insider Access using Multi-Policy Access Control Systems. - Peter Mell; James M. Shook; Richard E. Harang; Serban I. Gavrila (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017)

Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach. - Richard E. Harang; Alexander Kott (IEEE Trans. Inf. Forensics Secur., 2017)

Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. - Edwin Dauber; Aylin Caliskan; Richard E. Harang; Rachel Greenstadt (ICSE (Companion Volume), 2018)

When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. - Aylin Caliskan; Fabian Yamaguchi; Edwin Dauber; Richard E. Harang; Konrad Rieck; Rachel Greenstadt; Arvind Narayanan (NDSS, 2018)

A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. - Joshua Saxe; Richard E. Harang; Cody Wild; Hillary Sanders (IEEE Symposium on Security and Privacy Workshops, 2018)

MEADE: Towards a Malicious Email Attachment Detection Engine. - Ethan M. Rudd; Richard E. Harang; Joshua Saxe (CoRR, 2018)

Principled Uncertainty Estimation for Deep Neural Networks. - Richard E. Harang; Ethan M. Rudd (CoRR, 2018)

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. - Ethan M. Rudd; Felipe N. Ducau; Cody Wild; Konstantin Berlin; Richard E. Harang (USENIX Security Symposium, 2019)

Statistical Models for the Number of Successful Cyber Intrusions. - Nandi O. Leslie; Richard E. Harang; Lawrence P. Knachel; Alexander Kott (CoRR, 2019)

Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. - Edwin Dauber; Aylin Caliskan; Richard E. Harang; Gregory Shearer; Michael J. Weisman; Frederica Free-Nelson; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2019)

CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails. - Younghoo Lee; Joshua Saxe; Richard E. Harang (CoRR, 2020)

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. - Richard E. Harang; Ethan M. Rudd (CoRR, 2020)

Magnificent Minified Models. - Richard E. Harang; Hillary Sanders (CoRR, 2023)

Catastrophic Forgetting in the Context of Model Updates. - Richard E. Harang; Hillary Sanders (CoRR, 2023)