Richard Zak

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 14

Top Topics

Arbitrary Length

Rule Generation

Relation Extraction

Malware Detection

Top Venues

J. Comput. Virol. Hacking Tech.

Publications

André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS (2022)
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI (2021)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. AISec@CCS (2020)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. CoRR (2020)
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. CoRR (2020)
Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports. IEEE Access 8 (2020)
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement. ASONAM (2019)
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement. CoRR (2019)
Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
KiloGrams: Very Large N-Grams for Malware Classification. CoRR (2019)
Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas
An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. 14 (1) (2018)
William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. CoRR (2018)
William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. MALWARE (2018)
William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. AAAI Fall Symposium: ALEC (2018)
Richard Zak, Edward Raff, Charles Nicholas
What can N-grams learn for malware detection? MALWARE (2017)