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The advancements of Large Language Models (LLMs) have decentralized the responsibility for the transparency of AI usage. Specifically, LLM users are now encouraged or required to disclose the use of LLM-generated content for varied types of…

人机交互 · 计算机科学 2025-05-07 Zhiping Zhang , Chenxinran Shen , Bingsheng Yao , Dakuo Wang , Tianshi Li

The success of social media platforms has facilitated the emergence of various forms of online abuse within digital communities. This abuse manifests in multiple ways, including hate speech, cyberbullying, emotional abuse, grooming, and…

计算与语言 · 计算机科学 2025-07-03 Jose A. Diaz-Garcia , Joao Paulo Carvalho

Large language models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP). Their impact extends across a diverse spectrum of tasks, revolutionizing how we approach language understanding and generations.…

密码学与安全 · 计算机科学 2025-06-13 Sara Abdali , Richard Anarfi , CJ Barberan , Jia He , Erfan Shayegani

Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Nowadays, LLM is becoming a very popular…

计算与语言 · 计算机科学 2024-11-18 Badhan Chandra Das , M. Hadi Amini , Yanzhao Wu

The ever-increasing workload of digital forensic labs raises concerns about law enforcement's ability to conduct both cyber-related and non-cyber-related investigations promptly. Consequently, this article explores the potential and…

密码学与安全 · 计算机科学 2025-02-03 Akila Wickramasekara , Frank Breitinger , Mark Scanlon

Large Language Models (LLMs) are increasingly integrated into critical systems in industries like healthcare and finance. Users can often submit queries to LLM-enabled chatbots, some of which can enrich responses with information retrieved…

密码学与安全 · 计算机科学 2025-05-21 Sayon Palit , Daniel Woods

Large Language Models (LLMs) rapidly reshape modern life, advancing fields from healthcare to education and beyond. However, alongside their remarkable capabilities lies a significant threat: the susceptibility of these models to…

计算与语言 · 计算机科学 2025-05-16 Michael Fire , Yitzhak Elbazis , Adi Wasenstein , Lior Rokach

The rapid adoption of Large Language Model (LLM) agents and multi-agent systems enables remarkable capabilities in natural language processing and generation. However, these systems introduce security vulnerabilities that extend beyond…

密码学与安全 · 计算机科学 2026-05-12 Matteo Lupinacci , Francesco Aurelio Pironti , Francesco Blefari , Francesco Romeo , Luigi Arena , Angelo Furfaro

Online marketplaces, while revolutionizing global commerce, have inadvertently facilitated the proliferation of illicit activities, including drug trafficking, counterfeit sales, and cybercrimes. Traditional content moderation methods such…

计算与语言 · 计算机科学 2026-03-06 Quoc Khoa Tran , Thanh Thi Nguyen , Campbell Wilson

Recent advancements in Large Language Models (LLMs), such as ChatGPT and LLaMA, have significantly transformed Natural Language Processing (NLP) with their outstanding abilities in text generation, summarization, and classification.…

计算与语言 · 计算机科学 2024-08-12 Md Nazmus Sakib , Md Athikul Islam , Royal Pathak , Md Mashrur Arifin

General Purpose AI - such as Large Language Models (LLMs) - have seen rapid deployment in a wide range of use cases. Most surprisingly, they have have made their way from plain language models, to chat-bots, all the way to an almost…

密码学与安全 · 计算机科学 2025-01-06 Mario Fritz

Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation. They possess deep language comprehension, human-like text generation capabilities, contextual awareness, and robust…

密码学与安全 · 计算机科学 2024-03-22 Yifan Yao , Jinhao Duan , Kaidi Xu , Yuanfang Cai , Zhibo Sun , Yue Zhang

Online abuse has grown increasingly complex, spanning toxic language, harassment, manipulation, and fraudulent behavior. Traditional machine-learning approaches dependent on static classifiers and labor-intensive labeling struggle to keep…

计算与语言 · 计算机科学 2026-04-02 Suraj Kath , Sanket Badhe , Preet Shah , Ashwin Sampathkumar , Shivani Gupta

As large language models (LLMs) permeate more and more applications, an assessment of their associated security risks becomes increasingly necessary. The potential for exploitation by malicious actors, ranging from disinformation to data…

密码学与安全 · 计算机科学 2024-09-24 Erik Derner , Kristina Batistič , Jan Zahálka , Robert Babuška

Large Language Models (LLMs) are a double-edged sword capable of generating harmful misinformation -- inadvertently, or when prompted by "jailbreak" attacks that attempt to produce malicious outputs. LLMs could, with additional research, be…

计算与语言 · 计算机科学 2025-08-15 Ayana Hussain , Patrick Zhao , Nicholas Vincent

Large Language Models have seen rapid progress in capability in recent years; this progress has been accelerating and their capabilities, measured by various benchmarks, are beginning to approach those of humans. There is a strong demand to…

计算与语言 · 计算机科学 2023-12-07 Brett Israelsen , Soumalya Sarkar

Recent advancements in Large Language Models (LLMs) have established them as agentic systems capable of planning and interacting with various tools. These LLM agents are often paired with web-based tools, enabling access to diverse sources…

密码学与安全 · 计算机科学 2025-02-04 Hanna Kim , Minkyoo Song , Seung Ho Na , Seungwon Shin , Kimin Lee

Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS). However, while these systems have flourished, their susceptibility to security threats has been largely…

计算与语言 · 计算机科学 2024-06-06 Jinghao Zhang , Yuting Liu , Qiang Liu , Shu Wu , Guibing Guo , Liang Wang

This paper presents a critical examination of the surprising efficacy of Large Language Models (LLMs) in penetration testing. The paper thoroughly reviews the evolution of LLMs and their rapidly expanding capabilities which render them…

密码学与安全 · 计算机科学 2025-07-02 Andreas Happe , Jürgen Cito

Large Language Models (LLMs), which bridge the gap between human language understanding and complex problem-solving, achieve state-of-the-art performance on several NLP tasks, particularly in few-shot and zero-shot settings. Despite the…

密码学与安全 · 计算机科学 2025-01-07 Shuai Zhao , Meihuizi Jia , Zhongliang Guo , Leilei Gan , Xiaoyu Xu , Xiaobao Wu , Jie Fu , Yichao Feng , Fengjun Pan , Luu Anh Tuan