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相关论文: GPT-5 at CTFs: Case Studies From Top-Tier Cybersec…

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Organizations are increasingly targeted by Advanced Persistent Threats (APTs), which involve complex, multi-stage tactics and diverse techniques. Cyber Threat Intelligence (CTI) sources, such as incident reports and security blogs, provide…

密码学与安全 · 计算机科学 2025-04-09 Sofia Della Penna , Roberto Natella , Vittorio Orbinato , Lorenzo Parracino , Luciano Pianese

Over the last years, the rising capabilities of artificial intelligence (AI) have improved human decision-making in many application areas. Teaming between AI and humans may even lead to complementary team performance (CTP), i.e., a level…

人机交互 · 计算机科学 2022-05-04 Patrick Hemmer , Max Schemmer , Niklas Kühl , Michael Vössing , Gerhard Satzger

LLM based agents are increasingly deployed in high stakes settings where they process external data sources such as emails, documents, and code repositories. This creates exposure to indirect prompt injection attacks, where adversarial…

This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, public institutions, and AI developers are approaching risk…

In this work, we consider challenges relating to security for Industrial Control Systems (ICS) in the context of ICS security education and research targeted both to academia and industry. We propose to address those challenges through…

密码学与安全 · 计算机科学 2017-02-13 Daniele Antonioli , Hamid Reza Ghaeini , Sridhar Adepu , Martín Ochoa , Nils Ole Tippenhauer

Large language models (LLMs) demonstrate powerful information handling capabilities and are widely integrated into chatbot applications. OpenAI provides a platform for developers to construct custom GPTs, extending ChatGPT's functions and…

密码学与安全 · 计算机科学 2025-06-05 Wei Wenying , Zhao Kaifa , Xue Lei , Fan Ming

Large language models (LLMs) have shown remarkable progress in coding and math problem-solving, but evaluation on advanced research-level problems in hard sciences remains scarce. To fill this gap, we present CMT-Benchmark, a dataset of 50…

The use of Artificial Intelligence (AI) and Machine Learning (ML) to solve cybersecurity problems has been gaining traction within industry and academia, in part as a response to widespread malware attacks on critical systems, such as cloud…

密码学与安全 · 计算机科学 2020-09-24 Maanak Gupta , Sudip Mittal , Mahmoud Abdelsalam

Question-and-answer formats provide a novel experimental platform for investigating cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI supports an advanced understanding of complex coding questions. The…

密码学与安全 · 计算机科学 2022-12-23 Forrest McKee , David Noever

Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

The rapid advancement of large language models has opened new avenues for automating complex problem-solving tasks such as algorithmic coding and competitive programming. This paper introduces a novel evaluation technique, LLM-ProS, to…

计算与语言 · 计算机科学 2026-03-03 Md Sifat Hossain , Anika Tabassum , Md. Fahim Arefin , Tarannum Shaila Zaman

Cyber threats continue to evolve in complexity, thereby traditional Cyber Threat Intelligence (CTI) methods struggle to keep pace. AI offers a potential solution, automating and enhancing various tasks, from data ingestion to resilience…

密码学与安全 · 计算机科学 2024-05-24 Lampis Alevizos , Martijn Dekker

Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area. Nevertheless, when it comes to smart machines, it is not just about…

人工智能 · 计算机科学 2019-04-15 Chang-Shing Lee , Mei-Hui Wang , Li-Wei Ko , Naoyuki Kubota , Lu-An Lin , Shinya Kitaoka , Yu-Te Wang , Shun-Feng Su

Federated Learning (FL) enables collaborative model training while preserving data privacy; however, balancing privacy preservation (PP) and fairness poses significant challenges. In this paper, we present the first unified large-scale…

机器学习 · 计算机科学 2025-08-12 Dawood Wasif , Dian Chen , Sindhuja Madabushi , Nithin Alluru , Terrence J. Moore , Jin-Hee Cho

AI-driven penetration testing now executes thousands of actions per hour but still lacks the strategic intuition humans apply in competitive security. To build cybersecurity superintelligence --Cybersecurity AI exceeding best human…

Traditional rule-based cybersecurity systems have proven highly effective against known malware threats. However, they face challenges in detecting novel threats. To address this issue, emerging cybersecurity systems are incorporating AI…

密码学与安全 · 计算机科学 2024-12-18 Tobias Becher , Simon Torka

Open-weight general-purpose AI (GPAI) models offer significant benefits but also introduce substantial cybersecurity risks, as demonstrated by the offensive capabilities of models like DeepSeek-R1 in evaluations such as MITRE's OCCULT.…

密码学与安全 · 计算机科学 2025-05-26 Alfonso de Gregorio

This paper presents our winning submission to the AI Mathematical Olympiad - Progress Prize 2 (AIMO-2) competition. Our recipe for building state-of-the-art mathematical reasoning models relies on three key pillars. First, we create a…

Copyright infringement in frontier LLMs has received much attention recently due to the New York Times v. OpenAI lawsuit, filed in December 2023. The New York Times claims that GPT-4 has infringed its copyrights by reproducing articles for…

机器学习 · 计算机科学 2024-12-10 Joshua Freeman , Chloe Rippe , Edoardo Debenedetti , Maksym Andriushchenko

Frontier AI safety policies highlight automation of AI research and development (R&D) by AI agents as an important capability to anticipate. However, there exist few evaluations for AI R&D capabilities, and none that are highly realistic…