William Fleshman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Trec Collections

Information Retrieval

Malware Detection

Top Venues

AAAI Fall Symposium: ALEC

Publications

William Fleshman, Benjamin Van Durme
RE-Adapt: Reverse Engineered Adaptation of Large Language Models. CoRR (2024)
William Fleshman, Aleem Khan, Marc Marone, Benjamin Van Durme
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. CoRR (2024)
William Fleshman, Benjamin Van Durme
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. CoRR (2024)
William Fleshman, Benjamin Van Durme
Toucan: Token-Aware Character Level Language Modeling. CoRR (2023)
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, 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)
Brian B., William Fleshman, Kevin H., Ryan Kaliszewski, Shawn R
Deception and the Strategy of Influence. CoRR (2020)
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, Jared Sylvester, Steven Forsyth, Mark McLean
Non-Negative Networks Against Adversarial Attacks. 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. AAAI Fall Symposium: ALEC (2018)