(Georgia Institute of Technology, 2024-05-05)
Kelklie, Moges
Data privacy has become a key concern of large language models(LLMs), both in the large trove of information they can infer and in the inherent inflexibility of models in forgetting the learned data. LLMs do not have an easy way to delete information; sensitive data could be inferred through prompt engineering, thus raising concerns about data privacy. This article attempts to address the challenge of LLM data privacy and how policy can help mitigate some of the privacy concerns.
(Georgia Institute of Technology, 2021-12)
Caras, Constantine J.
Through the application of the Diamond Model of Intrusion Analysis, this paper identifies and intricately examines all core features of the incident, highlighting the hacker’s modus operandi and defining causal relationships between every phase of the attack. Furthermore, a policy assessment is conducted to illustrate which societal layer could best address this variant of intrusion to support stronger proactive security defense in the future.
(Georgia Institute of Technology, 2020)
Cohen, Sophia A.
This paper analyzes the historical and social impacts of American passenger rail to highlight a solution to lacking connectivity and transportation options for rural Georgians. Rural Georgians need a lasting and adequate solution to the issue of lacking access to jobs, healthcare, and neighboring areas. Supplemented by Van services that ineffectively address the core issue of an inexistent reliable transportation system, the creation of a passenger rail line utilizing existing freight tracks along the Atlanta, Macon, Savannah route would encompass and serve the surrounding rural communities. Analyzing the specific actions for federal, state, and municipal governments to take, there is data supporting the substantial benefits passenger rail can have on the rural areas as well as urban areas by decreasing commuting traffic in urban centers.