Richard E. Harang

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 35

Top Topics

Authorship Attribution

Machine Learning

Top Venues

IEEE Symposium on Security and Privacy Workshops

USENIX Security Symposium

Publications

Richard E. Harang, Hillary Sanders
Magnificent Minified Models. CoRR (2023)
Richard E. Harang, Hillary Sanders
Catastrophic Forgetting in the Context of Model Updates. CoRR (2023)
Richard E. Harang, Ethan M. Rudd
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. CoRR (2020)
Younghoo Lee, Joshua Saxe, Richard E. Harang
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails. CoRR (2020)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium (2019)
Nandi O. Leslie, Richard E. Harang, Lawrence P. Knachel, Alexander Kott
Statistical Models for the Number of Successful Cyber Intrusions. CoRR (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR (2019)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Gregory Shearer, Michael J. Weisman, Frederica Free-Nelson, Rachel Greenstadt
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. CoRR (2018)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Rachel Greenstadt
Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. ICSE (Companion Volume) (2018)
Ethan M. Rudd, Richard E. Harang, Joshua Saxe
MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR (2018)
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS (2018)
Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. IEEE Symposium on Security and Privacy Workshops (2018)
Richard E. Harang, Ethan M. Rudd
Principled Uncertainty Estimation for Deep Neural Networks. CoRR (2018)
Edwin Dauber, Aylin Caliskan Islam, Richard E. Harang, Rachel Greenstadt
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. CoRR (2017)
Bander Alsulami, Edwin Dauber, Richard E. Harang, Spiros Mancoridis, Rachel Greenstadt
Source Code Authorship Attribution Using Long Short-Term Memory Based Networks. ESORICS (1) (2017)
Richard E. Harang, Alexander Kott
Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach. IEEE Trans. Inf. Forensics Secur. 12 (10) (2017)
Ken F. Yu, Richard E. Harang
Machine learning in malware traffic classifications. MILCOM (2017)
Peter Mell, James M. Shook, Richard E. Harang, Serban I. Gavrila
Linear Time Algorithms to Restrict Insider Access using Multi-Policy Access Control Systems. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 8 (1) (2017)
Brian Thompson, Richard E. Harang
Identifying Key Cyber-Physical Terrain. IWSPA@CODASPY (2017)
Brian Thompson, Richard E. Harang
Identifying Key Cyber-Physical Terrain (Extended Version). CoRR (2017)
Richard E. Harang, Alexander Kott
Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach. CoRR (2017)
Peter Mell, James M. Shook, Richard E. Harang
Measuring and Improving the Effectiveness of Defense-in-Depth Postures. ICSS (2016)
Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang
Crafting Adversarial Input Sequences for Recurrent Neural Networks. CoRR (2016)
Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang
Crafting adversarial input sequences for recurrent neural networks. MILCOM (2016)
Brian Thompson, James R. Morris-King, Richard E. Harang
Slowing the spread of Bluetooth-based malware in mobile tactical networks. MILCOM (2016)
Yu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan
A Fast Kernel for Attributed Graphs. SDM (2016)
Richard E. Harang, Peter Mell
Micro-signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection. FPS (2016)
Sheridan S. Curley, Richard E. Harang
Grammatical Inference and Machine Learning Approaches to Post-Hoc LangSec. IEEE Symposium on Security and Privacy Workshops (2016)
Aylin Caliskan Islam, Richard E. Harang, Andrew Liu, Arvind Narayanan, Clare R. Voss, Fabian Yamaguchi, Rachel Greenstadt
De-anonymizing Programmers via Code Stylometry. USENIX Security Symposium (2015)
Assane Gueye, Peter Mell, Richard E. Harang, Richard J. La
Defensive Resource Allocations with Security Chokepoints in IPv6 Networks. DBSec (2015)
Richard E. Harang, Peter Mell
Evasion-resistant network scan detection. Secur. Informatics 4 (1) (2015)
Aylin Caliskan Islam, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. CoRR (2015)
Kerry N. Wood, Richard E. Harang
Grammatical Inference and Language Frameworks for LANGSEC. IEEE Symposium on Security and Privacy Workshops (2015)
Lisa M. Marvel, Scott E. Brown, Iulian Neamtiu, Richard E. Harang, David Harman, Brian Henz
A framework to evaluate cyber agility. MILCOM (2015)
Peter Mell, Richard E. Harang
Lightweight Packing of Log Files for Improved Compression in Mobile Tactical Networks. MILCOM (2014)
Peter Mell, Richard E. Harang
Using Network Tainting to Bound the Scope of Network Ingress Attacks. SERE (2014)
Peter Mell, Richard E. Harang
Limitations to threshold random walk scan detection and mitigating enhancements. CNS (2013)
William J. Glodek, Richard E. Harang
Rapid Permissions-Based Detection and Analysis of Mobile Malware Using Random Decision Forests. MILCOM (2013)
Richard E. Harang, Peter Guarino
Clustering of Snort alerts to identify patterns and reduce analyst workload. MILCOM (2012)
Richard E. Harang, William J. Glodek
Identification of anomalous network security token usage via clustering and density estimation. CISS (2012)