2,077+ academic papers on AI security, attacks, and defenses
Showing 101–115 of 115 papers
Clear filtersYisen Wang, Yichuan Mo, Hongjun Wang +2 more
Despite the rapid progress of neural networks, they remain highly vulnerable to adversarial examples, for which adversarial training (AT) is...
Karthik Avinash, Nikhil Pareek, Rishav Hada
The increasing deployment of Large Language Models (LLMs) across enterprise and mission-critical domains has underscored the urgent need for robust...
Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
Large language Models (LLMs) have shown remarkable proficiency in code generation tasks across various programming languages. However, their outputs...
Qizhou Peng, Yang Zheng, Yu Wen +2 more
Reinforcement learning (RL) has been an important machine learning paradigm for solving long-horizon sequential decision-making problems under...
Muris Sladić, Veronica Valeros, Carlos Catania +1 more
There are very few SotA deception systems based on Large Language Models. The existing ones are limited only to simulating one type of service,...
Yasod Ginige, Akila Niroshan, Sajal Jain +1 more
Penetration testing and vulnerability assessment are essential industry practices for safeguarding computer systems. As cyber threats grow in scale...
Rijha Safdar, Danyail Mateen, Syed Taha Ali +1 more
Artificial Intelligence (AI) and more specifically Large Language Models (LLMs) have demonstrated exceptional progress in multiple areas including...
Bowei Ning, Xuejun Zong, Kan He
Industrial control systems (ICS) are vital to modern infrastructure but increasingly vulnerable to cybersecurity threats, particularly through...
Hongbo Liu, Jiannong Cao, Bo Yang +7 more
The rapid advancement of large language models (LLMs) in recent years has revolutionized the AI landscape. However, the deployment model and usage of...
Dalal Alharthi, Ivan Roberto Kawaminami Garcia
Large Language Models (LLMs) have gained prominence in domains including cloud security and forensics. Yet cloud forensic investigations still rely...
Qianshan Wei, Tengchao Yang, Yaochen Wang +7 more
Large Language Model (LLM) agents use memory to learn from past interactions, enabling autonomous planning and decision-making in complex...
Lukas Twist, Jie M. Zhang, Mark Harman +1 more
Large language models (LLMs) are increasingly used to generate code, yet they continue to hallucinate, often inventing non-existent libraries. Such...
Bochuan Cao, Changjiang Li, Yuanpu Cao +3 more
Large language models (LLMs) have been widely adopted across various applications, leveraging customized system prompts for diverse tasks. Facing...
Daiki Chiba, Hiroki Nakano, Takashi Koide
Phishing attacks are a significant societal threat, disproportionately harming vulnerable populations and eroding trust in essential digital...
Prakhar Sharma, Haohuang Wen, Vinod Yegneswaran +3 more
The evolution toward 6G networks is being accelerated by the Open Radio Access Network (O-RAN) paradigm -- an open, interoperable architecture that...
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