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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

Large Language Models(LLMs) have dramatically revolutionized the field of Natural Language Processing(NLP), offering remarkable capabilities that have garnered widespread usage. However, existing interaction paradigms between LLMs and users…

计算与语言 · 计算机科学 2024-03-11 Juhao Liang , Ziwei Wang , Zhuoheng Ma , Jianquan Li , Zhiyi Zhang , Xiangbo Wu , Benyou Wang

Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, scammers continue to adapt and refine their tactics, making it…

密码学与安全 · 计算机科学 2024-10-18 Zitong Shen , Kangzhong Wang , Youqian Zhang , Grace Ngai , Eugene Y. Fu

The ability of Large Language Models (LLMs) to mimic human behavior triggered a plethora of computational social science research, assuming that empirical studies of humans can be conducted with AI agents instead. Since there have been…

计算与语言 · 计算机科学 2025-10-21 Simon Münker , Nils Schwager , Achim Rettinger

Humans are capable of strategically deceptive behavior: behaving helpfully in most situations, but then behaving very differently in order to pursue alternative objectives when given the opportunity. If an AI system learned such a deceptive…

Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast…

密码学与安全 · 计算机科学 2025-06-23 Yashothara Shanmugarasa , Ming Ding , M. A. P Chamikara , Thierry Rakotoarivelo

Large Language Models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains. In response to their fast adoption in…

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

The success and wide adoption of generative AI (GenAI), particularly large language models (LLMs), has attracted the attention of cybercriminals seeking to abuse models, steal sensitive data, or disrupt services. Moreover, providing…

This research critically navigates the intricate landscape of AI deception, concentrating on deceptive behaviours of Large Language Models (LLMs). My objective is to elucidate this issue, examine the discourse surrounding it, and…

计算与语言 · 计算机科学 2024-03-18 Linge Guo

Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems. In cyber-security, there have been multiple research…

密码学与安全 · 计算机科学 2024-03-05 Jiacen Xu , Jack W. Stokes , Geoff McDonald , Xuesong Bai , David Marshall , Siyue Wang , Adith Swaminathan , Zhou Li

The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. However, this growth has also led to a largely unexplored…

密码学与安全 · 计算机科学 2024-03-20 Tri Nguyen , Huong Nguyen , Ahmad Ijaz , Saeid Sheikhi , Athanasios V. Vasilakos , Panos Kostakos

As large language models (LLMs) increasingly permeate daily lives, there is a growing demand for real-time interactions that mirror human conversations. Traditional turn-based chat systems driven by LLMs prevent users from verbally…

计算与语言 · 计算机科学 2026-01-14 Xinrong Zhang , Yingfa Chen , Shengding Hu , Xu Han , Zihang Xu , Yuanwei Xu , Weilin Zhao , Maosong Sun , Zhiyuan Liu

Natural language processing based on large language models (LLMs) is a booming field of AI research. After neural networks have proven to outperform humans in games and practical domains based on pattern recognition, we might stand now at a…

计算机与社会 · 计算机科学 2023-03-31 Anna Strasser

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next,…

计算与语言 · 计算机科学 2023-09-07 Ou Zheng , Mohamed Abdel-Aty , Dongdong Wang , Zijin Wang , Shengxuan Ding

Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a new LLM-powered disease risk assessment approach via…

计算与语言 · 计算机科学 2024-09-24 Mohammad Amin Roshani , Xiangyu Zhou , Yao Qiang , Srinivasan Suresh , Steve Hicks , Usha Sethuraman , Dongxiao Zhu

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) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, and Copilot (by OpenAI, Anthropic, Google, Meta, and Microsoft, respectively), are reshaping digital platforms and app ecosystems while…

密码学与安全 · 计算机科学 2025-07-29 Kiarash Ahi

Large Language Models (LLMs) have rapidly evolved over the past few years and are currently evaluated for their efficacy within the domain of offensive cyber-security. While initial forays showcase the potential of LLMs to enhance security…

密码学与安全 · 计算机科学 2025-06-11 Andreas Happe , Jürgen Cito

High-risk industries like nuclear and aviation use real-time monitoring to detect dangerous system conditions. Similarly, Large Language Models (LLMs) need monitoring safeguards. We propose a real-time framework to predict harmful AI…

人工智能 · 计算机科学 2025-05-21 Maheep Chaudhary , Fazl Barez