Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. - William Fleshman; Edward Raff; Richard Zak; Mark McLean; Charles Nicholas (AAAI Fall Symposium: ALEC, 2018)

Non-Negative Networks Against Adversarial Attacks. - William Fleshman; Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean (CoRR, 2018)

Deception and the Strategy of Influence. - Brian B.; William Fleshman; Kevin H.; Ryan Kaliszewski; Shawn R (CoRR, 2020)

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. - Edward Raff; William Fleshman; Richard Zak; Hyrum S. Anderson; Bobby Filar; Mark McLean (AAAI, 2021)

Toucan: Token-Aware Character Level Language Modeling. - William Fleshman; Benjamin Van Durme (CoRR, 2023)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. - William Fleshman; Benjamin Van Durme (CAMLIS, 2024)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. - William Fleshman; Aleem Khan; Marc Marone; Benjamin Van Durme (CoRR, 2024)

RE-Adapt: Reverse Engineered Adaptation of Large Language Models. - William Fleshman; Benjamin Van Durme (CoRR, 2024)

RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. - William Fleshman; Benjamin Van Durme (SIGIR, 2025)

SpectR: Dynamically Composing LM Experts with Spectral Routing. - William Fleshman; Benjamin Van Durme (CoRR, 2025)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks. - William Fleshman; Benjamin Van Durme (CoRR, 2025)