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The prevalence and strong capability of large language models (LLMs) present significant safety and ethical risks if exploited by malicious users. To prevent the potentially deceptive usage of LLMs, recent works have proposed algorithms to…

计算与语言 · 计算机科学 2023-10-20 Zhouxing Shi , Yihan Wang , Fan Yin , Xiangning Chen , Kai-Wei Chang , Cho-Jui Hsieh

Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their widespread deployment has raised significant safety and…

密码学与安全 · 计算机科学 2024-12-03 Jing Cui , Yishi Xu , Zhewei Huang , Shuchang Zhou , Jianbin Jiao , Junge Zhang

Large Language Models (LLMs) have transformed natural language processing, demonstrating impressive capabilities across diverse tasks. However, deploying these models introduces critical risks related to intellectual property violations and…

密码学与安全 · 计算机科学 2025-12-24 Kieu Dang , Phung Lai , NhatHai Phan , Yelong Shen , Ruoming Jin , Abdallah Khreishah , My T. Thai

Large Language Models (LLMS) have increasingly become central to generating content with potential societal impacts. Notably, these models have demonstrated capabilities for generating content that could be deemed harmful. To mitigate these…

密码学与安全 · 计算机科学 2024-05-20 Zihao Xu , Yi Liu , Gelei Deng , Yuekang Li , Stjepan Picek

Large language models (LLMs) have achieved remarkable performance across diverse natural language processing tasks, yet their vulnerability to character-level adversarial manipulations presents significant security challenges for real-world…

密码学与安全 · 计算机科学 2025-11-27 Ephraiem Sarabamoun

Large language models (LLMs) have provided a lot of exciting new capabilities in software development. However, the opaque nature of these models makes them difficult to reason about and inspect. Their opacity gives rise to potential…

Large Language Models (LLMs) are widely used in natural language processing but face the risk of jailbreak attacks that maliciously induce them to generate harmful content. Existing jailbreak attacks, including character-level and…

计算与语言 · 计算机科学 2025-02-19 Bangxin Li , Hengrui Xing , Cong Tian , Chao Huang , Jin Qian , Huangqing Xiao , Linfeng Feng

Jailbreak attacks cause large language models (LLMs) to generate harmful, unethical, or otherwise objectionable content. Evaluating these attacks presents a number of challenges, which the current collection of benchmarks and evaluation…

Natural language processing models have experienced a significant upsurge in recent years, with numerous applications being built upon them. Many of these applications require fine-tuning generic base models on customized, proprietary…

机器学习 · 计算机科学 2024-03-14 Guy Amit , Abigail Goldsteen , Ariel Farkash

In recent years, Large Language Models (LLMs) have gained significant popularity due to their ability to generate human-like text and their potential applications in various fields, such as Software Engineering. LLMs for Code are commonly…

软件工程 · 计算机科学 2023-03-01 Ali Al-Kaswan , Maliheh Izadi

With the widespread real-world deployment of large language models (LLMs), ensuring their behavior complies with safety standards has become crucial. Jailbreak attacks exploit vulnerabilities in LLMs to induce undesirable behavior, posing a…

计算与语言 · 计算机科学 2025-05-26 Jiaqi Wu , Chen Chen , Chunyan Hou , Xiaojie Yuan

Large Language Models (LLMs) have surged in popularity in recent months, but they have demonstrated concerning capabilities to generate harmful content when manipulated. While techniques like safety fine-tuning aim to minimize harmful use,…

计算与语言 · 计算机科学 2024-02-16 Chawin Sitawarin , Norman Mu , David Wagner , Alexandre Araujo

Large language models (LLMs) are increasingly used as analyst assistants in security operations centers (SOCs), where they ingest log and alert data to produce triage labels, incident summaries, or remediation advice. We study a structural…

密码学与安全 · 计算机科学 2026-05-26 Rohan Pandey , Archit Bhujang

Nowadays, developers increasingly rely on solutions powered by Large Language Models (LLM) to assist them with their coding tasks. This makes it crucial to align these tools with human values to prevent malicious misuse. In this paper, we…

软件工程 · 计算机科学 2025-04-03 Ali Al-Kaswan , Sebastian Deatc , Begüm Koç , Arie van Deursen , Maliheh Izadi

The past year has seen rapid acceleration in the development of large language models (LLMs). However, without proper steering and safeguards, LLMs will readily follow malicious instructions, provide unsafe advice, and generate toxic…

计算与语言 · 计算机科学 2024-02-19 Bertie Vidgen , Nino Scherrer , Hannah Rose Kirk , Rebecca Qian , Anand Kannappan , Scott A. Hale , Paul Röttger

The jailbreak attack can bypass the safety measures of a Large Language Model (LLM), generating harmful content. This misuse of LLM has led to negative societal consequences. Currently, there are two main approaches to address jailbreak…

计算与语言 · 计算机科学 2024-03-25 Zezhong Wang , Fangkai Yang , Lu Wang , Pu Zhao , Hongru Wang , Liang Chen , Qingwei Lin , Kam-Fai Wong

Large Language Models (LLMs) are widely deployed in diverse real-world settings, yet remain vulnerable to jailbreaking, where prompt-based attacks bypass safety filters. We present THREAT (Targeted Harmful generation via Reframing and…

密码学与安全 · 计算机科学 2026-05-22 Shahnewaz Karim Sakib , Swati Kar , Anindya Bijoy Das

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 demonstrated remarkable capabilities in various tasks. However, they remain exposed to jailbreak attacks, eliciting harmful responses. The nested scenario strategy has been increasingly adopted across…

密码学与安全 · 计算机科学 2025-11-18 Ning Xu , Bo Gao , Hui Dou

With the recent unprecedented advancements in Artificial Intelligence (AI) computing, progress in Large Language Models (LLMs) is accelerating rapidly, presenting challenges in establishing clear guidelines, particularly in the field of…

密码学与安全 · 计算机科学 2024-09-04 Nafis Tanveer Islam , Joseph Khoury , Andrew Seong , Elias Bou-Harb , Peyman Najafirad