2,077+ academic papers on AI security, attacks, and defenses
Showing 61–80 of 112 papers
Clear filtersHung-Fu Chang, MohammadShokrolah Shirazi, Lizhou Cao +1 more
Recent advances in large language models (LLMs) have introduced new paradigms in software development, including vibe coding, AI-assisted coding, and...
Panagiotis Theocharopoulos, Ajinkya Kulkarni, Mathew Magimai. -Doss
Large language models (LLMs) are increasingly considered for use in high-impact workflows, including academic peer review. However, LLMs are...
Mohammed Latif Siddiq, Natalie Sekerak, Antonio Karam +3 more
Large language models (LLMs) are increasingly used in software development, but their level of software security expertise remains unclear. This work...
Kanchon Gharami, Sanjiv Kumar Sarkar, Yongxin Liu +1 more
Large Language Models (LLMs) like ChatGPT are now widely used in writing and reviewing scientific papers. While this trend accelerates publication...
Jaykumar Kasundra, Anjaneya Praharaj, Sourabh Surana +11 more
Safeguarding large language models (LLMs) against unsafe or adversarial behavior is critical as they are increasingly deployed in conversational and...
Siva Sai, Ishika Goyal, Shubham Sharma +3 more
The increasing number of cyber threats and rapidly evolving tactics, as well as the high volume of data in recent years, have caused classical...
Xinyu Huang, Shyam Karthick V B, Taozhao Chen +5 more
The integration of Large Language Models (LLMs) into robotics has revolutionized their ability to interpret complex human commands and execute...
Asa Cooper Stickland, Jan Michelfeit, Arathi Mani +6 more
LLM-based software engineering agents are increasingly used in real-world development tasks, often with access to sensitive data or security-critical...
J. Alexander Curtis, Nasir U. Eisty
Penetration testing is a cornerstone of cybersecurity, traditionally driven by manual, time-intensive processes. As systems grow in complexity, there...
Alexander K. Saeri, Sophia Lloyd George, Jess Graham +4 more
Organizations and governments that develop, deploy, use, and govern AI must coordinate on effective risk mitigation. However, the landscape of AI...
Devanshu Sahoo, Manish Prasad, Vasudev Majhi +5 more
Driven by surging submission volumes, scientific peer review has catalyzed two parallel trends: individual over-reliance on LLMs and institutional...
Shiva Gaire, Srijan Gyawali, Saroj Mishra +3 more
The Model Context Protocol (MCP) has emerged as the de facto standard for connecting Large Language Models (LLMs) to external data and tools,...
Guanquan Shi, Haohua Du, Zhiqiang Wang +4 more
Large Language Models (LLMs) are evolving into autonomous agents capable of executing complex workflows via standardized protocols (e.g., MCP)....
Mehrab Hosain, Sabbir Alom Shuvo, Matthew Ogbe +4 more
The modern web stack, which is dominated by browser-based applications and API-first backends, now operates under an adversarial equilibrium where...
Wei Zhao, Zhe Li, Jun Sun
Large Language Models (LLMs) exhibit remarkable capabilities but remain vulnerable to adversarial manipulations such as jailbreaking, where crafted...
Juan A. Wibowo, George C. Polyzos
Background: Autonomous agents powered by Large Language Models (LLMs) are driving a paradigm shift toward an "Internet of Agents" (IoA). While...
Boyuan Chen, Sitong Fang, Jiaming Ji +57 more
As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved...
Jaehwan Park, Kyungchan Lim, Seonhye Park +1 more
The advent of Artificial Intelligence (AI), particularly large language models (LLMs), has revolutionized software development by enabling developers...
Jiangrui Zheng, Yingming Zhou, Ali Abdullah Ahmad +2 more
Bug bounty platforms (e.g., HackerOne, BugCrowd) leverage crowd-sourced vulnerability discovery to improve continuous coverage, reduce the cost of...
Strahinja Janjusevic, Anna Baron Garcia, Sohrob Kazerounian
Generative AI is reshaping offensive cybersecurity by enabling autonomous red team agents that can plan, execute, and adapt during penetration tests....
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