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Richard E. Harang
Person information
- affiliation: Sophos
- affiliation (former): US Army Research Laboratory, Adelphi, MD, USA
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2020 – today
- 2023
- [i14]Richard E. Harang, Hillary Sanders:
Magnificent Minified Models. CoRR abs/2306.10177 (2023) - [i13]Richard E. Harang, Hillary Sanders:
Catastrophic Forgetting in the Context of Model Updates. CoRR abs/2306.10181 (2023) - 2020
- [i12]Younghoo Lee, Joshua Saxe, Richard E. Harang:
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails. CoRR abs/2010.03484 (2020) - [i11]Richard E. Harang, Ethan M. Rudd:
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. CoRR abs/2012.07634 (2020)
2010 – 2019
- 2019
- [j4]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): 389-408 (2019) - [c23]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium 2019: 303-320 - [i10]Nandi O. Leslie, Richard E. Harang, Lawrence P. Knachel, Alexander Kott:
Statistical Models for the Number of Successful Cyber Intrusions. CoRR abs/1901.04531 (2019) - [i9]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR abs/1903.05700 (2019) - 2018
- [c22]Edwin Dauber
Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. ICSE (Companion Volume) 2018: 356-357 - [c21]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 - [c20]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: 8-14 - [i8]Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders:
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. CoRR abs/1804.05020 (2018) - [i7]Ethan M. Rudd, Richard E. Harang, Joshua Saxe:
MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR abs/1804.08162 (2018) - [i6]Richard E. Harang, Ethan M. Rudd:
Principled Uncertainty Estimation for Deep Neural Networks. CoRR abs/1810.12278 (2018) - 2017
- [j3]Peter Mell, James M. Shook
Linear Time Algorithms to Restrict Insider Access using Multi-Policy Access Control Systems. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 8(1): 4-25 (2017) - [j2]Richard E. Harang, Alexander Kott
Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach. IEEE Trans. Inf. Forensics Secur. 12(10): 2348-2359 (2017) - [c19]Brian Thompson, Richard E. Harang:
Identifying Key Cyber-Physical Terrain. IWSPA@CODASPY 2017: 23-28 - [c18]Bander Alsulami, Edwin Dauber
Source Code Authorship Attribution Using Long Short-Term Memory Based Networks. ESORICS (1) 2017: 65-82 - [c17]Ken F. Yu, Richard E. Harang:
Machine learning in malware traffic classifications. MILCOM 2017: 6-10 - [i5]Edwin Dauber, Aylin Caliskan Islam, Richard E. Harang, Rachel Greenstadt:
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. CoRR abs/1701.05681 (2017) - [i4]Brian Thompson, Richard E. Harang:
Identifying Key Cyber-Physical Terrain (Extended Version). CoRR abs/1701.07331 (2017) - [i3]Richard E. Harang, Alexander Kott:
Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach. CoRR abs/1707.03927 (2017) - 2016
- [c16]Richard E. Harang, Peter Mell:
Micro-signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection. FPS 2016: 36-47 - [c15]Peter Mell, James M. Shook
Measuring and Improving the Effectiveness of Defense-in-Depth Postures. ICSS 2016: 15-22 - [c14]Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang:
Crafting adversarial input sequences for recurrent neural networks. MILCOM 2016: 49-54 - [c13]Brian Thompson, James R. Morris-King, Richard E. Harang:
Slowing the spread of Bluetooth-based malware in mobile tactical networks. MILCOM 2016: 485-490 - [c12]Yu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan:
A Fast Kernel for Attributed Graphs. SDM 2016: 486-494 - [c11]Sheridan S. Curley, Richard E. Harang:
Grammatical Inference and Machine Learning Approaches to Post-Hoc LangSec. IEEE Symposium on Security and Privacy Workshops 2016: 171-178 - [i2]Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang:
Crafting Adversarial Input Sequences for Recurrent Neural Networks. CoRR abs/1604.08275 (2016) - 2015
- [j1]Richard E. Harang, Peter Mell:
Evasion-resistant network scan detection. Secur. Informatics 4(1): 4 (2015) - [c10]Assane Gueye
Defensive Resource Allocations with Security Chokepoints in IPv6 Networks. DBSec 2015: 261-276 - [c9]Lisa M. Marvel, Scott E. Brown, Iulian Neamtiu, Richard E. Harang, David Harman, Brian Henz:
A framework to evaluate cyber agility. MILCOM 2015: 31-36 - [c8]Kerry N. Wood, Richard E. Harang:
Grammatical Inference and Language Frameworks for LANGSEC. IEEE Symposium on Security and Privacy Workshops 2015: 88-98 - [c7]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: 255-270 - [i1]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 abs/1512.08546 (2015) - 2014
- [c6]Peter Mell, Richard E. Harang:
Lightweight Packing of Log Files for Improved Compression in Mobile Tactical Networks. MILCOM 2014: 192-197 - [c5]Peter Mell, Richard E. Harang:
Using Network Tainting to Bound the Scope of Network Ingress Attacks. SERE 2014: 206-215 - [p2]Richard E. Harang:
Bridging the Semantic Gap: Human Factors in Anomaly-Based Intrusion Detection Systems. Network Science and Cybersecurity 2014: 15-37 - [p1]Richard E. Harang:
Learning and Semantics. Cyber Defense and Situational Awareness 2014: 201-217 - 2013
- [c4]Peter Mell, Richard E. Harang:
Limitations to threshold random walk scan detection and mitigating enhancements. CNS 2013: 332-340 - [c3]William J. Glodek, Richard E. Harang:
Rapid Permissions-Based Detection and Analysis of Mobile Malware Using Random Decision Forests. MILCOM 2013: 980-985 - 2012
- [c2]Richard E. Harang, William J. Glodek:
Identification of anomalous network security token usage via clustering and density estimation. CISS 2012: 1-6 - [c1]Richard E. Harang, Peter Guarino:
Clustering of Snort alerts to identify patterns and reduce analyst workload. MILCOM 2012: 1-6
Coauthor Index
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