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相关论文: The Phish, The Spam, and The Valid: Generating Fea…

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Large Language Models (LLMs) are increasingly capable, aiding in tasks such as content generation, yet they also pose risks, particularly in generating harmful spear-phishing emails. These emails, crafted to entice clicks on malicious URLs,…

密码学与安全 · 计算机科学 2024-12-17 Qinglin Qi , Yun Luo , Yijia Xu , Wenbo Guo , Yong Fang

Every day, our inboxes are flooded with unsolicited emails, ranging between annoying spam to more subtle phishing scams. Unfortunately, despite abundant prior efforts proposing solutions achieving near-perfect accuracy, the reality is that…

密码学与安全 · 计算机科学 2025-09-16 Luca Pajola , Eugenio Caripoti , Stefan Banzer , Simeone Pizzi , Mauro Conti , Giovanni Apruzzese

Phishing remains a critical cybersecurity threat, especially with the advent of large language models (LLMs) capable of generating highly convincing malicious content. Unlike earlier phishing attempts which are identifiable by grammatical…

密码学与安全 · 计算机科学 2025-10-15 Deeksha Hareesha Kulal , Chidozie Princewill Arannonu , Afsah Anwar , Nidhi Rastogi , Quamar Niyaz

Large language models(LLMs) have demonstrated remarkable performance on many natural language processing(NLP) tasks and have been employed in phishing email detection research. However, in current studies, well-performing LLMs typically…

计算与语言 · 计算机科学 2025-05-06 Zijie Lin , Zikang Liu , Hanbo Fan

Here is a further shortened version (pure text, no extra formatting, academic style preserved, no content change): Abstract. With the rise of AI-generated content (AIGC), phishing actors now possess richer linguistic capabilities and…

密码学与安全 · 计算机科学 2026-05-13 Shang Shang , Ruiqi Wang , Ruijie Qi , Hao Li , Yingxiao Xiang , Yepeng Yao , Zhengwei Jiang

Phishing remains a pervasive cyber threat, as attackers craft deceptive emails to lure victims into revealing sensitive information. While Artificial Intelligence (AI), in particular, deep learning, has become a key component in defending…

密码学与安全 · 计算机科学 2025-05-07 Fengchao Chen , Tingmin Wu , Van Nguyen , Shuo Wang , Alsharif Abuadbba , Carsten Rudolph

Phishing attacks remain a significant threat to modern cybersecurity, as they successfully deceive both humans and the defense mechanisms intended to protect them. Traditional detection systems primarily focus on email metadata that users…

密码学与安全 · 计算机科学 2025-06-18 Even Eilertsen , Vasileios Mavroeidis , Gudmund Grov

The emergence of Large Language Models (LLMs) has heightened the threat of phishing emails by enabling the generation of highly targeted, personalized, and automated attacks. Traditionally, many phishing emails have been characterized by…

With the rapid development of large language models, the potential threat of their malicious use, particularly in generating phishing content, is becoming increasingly prevalent. Leveraging the capabilities of LLMs, malicious users can…

密码学与安全 · 计算机科学 2025-09-10 Yan Pang , Wenlong Meng , Xiaojing Liao , Tianhao Wang

The proliferation of phishing sites and emails poses significant challenges to existing cybersecurity efforts. Despite advances in malicious email filters and email security protocols, problems with oversight and false positives persist.…

密码学与安全 · 计算机科学 2024-08-26 Takashi Koide , Naoki Fukushi , Hiroki Nakano , Daiki Chiba

Phishing, a prevalent cybercrime tactic for decades, remains a significant threat in today's digital world. By leveraging clever social engineering elements and modern technology, cybercrime targets many individuals, businesses, and…

计算与语言 · 计算机科学 2024-06-10 Het Patel , Umair Rehman , Farkhund Iqbal

Phishing and spam detection is long standing challenge that has been the subject of much academic research. Large Language Models (LLM) have vast potential to transform society and provide new and innovative approaches to solve…

计算与语言 · 计算机科学 2023-11-14 Suhaima Jamal , Hayden Wimmer

In this research, we aim to explore the potential of natural language models (NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent messages that aim to trick individuals into revealing…

计算与语言 · 计算机科学 2023-01-03 Rabimba Karanjai

The rise of large language models (LLMs) has enabled the generation of highly persuasive spam reviews that closely mimic human writing. These reviews pose significant challenges for existing detection systems and threaten the credibility of…

计算与语言 · 计算机科学 2026-04-21 Xin Liu , Rongwu Xu , Xinyi Jia , Jason Liao , Jiao Sun , Ling Huang , Wei Xu

The escalating threat of phishing emails has become increasingly sophisticated with the rise of Large Language Models (LLMs). As attackers exploit LLMs to craft more convincing and evasive phishing emails, it is crucial to assess the…

密码学与安全 · 计算机科学 2024-11-22 Khalifa Afane , Wenqi Wei , Ying Mao , Junaid Farooq , Juntao Chen

Phishing emails continue to pose a persistent challenge to online communication, exploiting human trust and evading automated filters through realistic language and adaptive tactics. While large language models (LLMs) such as GPT-4 and…

密码学与安全 · 计算机科学 2025-11-10 Daniyal Ganiuly , Assel Smaiyl

Phishing emails are a critical component of the cybercrime kill chain due to their wide reach and low cost. Their ever-evolving nature renders traditional rule-based and feature-engineered detectors ineffective in the ongoing arms race…

密码学与安全 · 计算机科学 2025-07-22 Ruofan Liu , Yun Lin , Silas Yeo Shuen Yu , Xiwen Teoh , Zhenkai Liang , Jin Song Dong

Phishing has long been a common tactic used by cybercriminals and continues to pose a significant threat in today's digital world. When phishing attacks become more advanced and sophisticated, there is an increasing need for effective…

密码学与安全 · 计算机科学 2025-02-10 Catherine Lee

Phishing email is a serious cyber threat that tries to deceive users by sending false emails with the intention of stealing confidential information or causing financial harm. Attackers, often posing as trustworthy entities, exploit…

机器学习 · 计算机科学 2025-08-15 Mohammad Amaz Uddin , Md Mahiuddin , Iqbal H. Sarker

The rapid adoption of open-source Large Language Models (LLMs) in offline and enterprise environments has introduced a largely unexamined security risk like susceptibility to adversarial phishing prompts under static safety configurations.…

密码学与安全 · 计算机科学 2026-04-21 Rina Mishra , Gaurav Varshney , Doddipatla Sesha Sahithi
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