Tool MEDIUM
Shaghayegh Shajarian, Kennedy Marsh, James Benson +2 more
Modern networks generate vast, heterogeneous traffic that must be continuously analyzed for security and performance. Traditional network traffic...
3 months ago cs.LG cs.AI cs.CR
PDF
Attack MEDIUM
Samruddhi Baviskar
Machine learning models used in financial decision systems operate in nonstationary economic environments, yet adversarial robustness is typically...
3 months ago cs.LG cs.AI cs.CR
PDF
Benchmark MEDIUM
Naseem Machlovi, Maryam Saleki, Ruhul Amin +5 more
As large language models (LLMs) become deeply embedded in daily life, the urgent need for safer moderation systems, distinguishing between naive from...
3 months ago cs.CL cs.AI cs.HC
PDF
Benchmark MEDIUM
Naseem Machlovi, Maryam Saleki, Ruhul Amin +5 more
As large language models (LLMs) become deeply embedded in daily life, the urgent need for safer moderation systems that distinguish between naive and...
3 months ago cs.CL cs.AI cs.HC
PDF
Attack MEDIUM
A. A. Gde Yogi Pramana, Jason Ray, Anthony Jaya +1 more
Vision--Language Models (VLMs) show significant promise for Medical Visual Question Answering (VQA), yet their deployment in clinical settings is...
Attack HIGH
Linzhi Chen, Yang Sun, Hongru Wei +1 more
Low-Rank Adaptation (LoRA) has emerged as an efficient method for fine-tuning large language models (LLMs) and is widely adopted within the...
3 months ago cs.CR cs.AI
PDF
Attack HIGH
Sameera K. M., Serena Nicolazzo, Antonino Nocera +2 more
Federated Learning (FL) has recently emerged as a revolutionary approach to collaborative training Machine Learning models. In particular, it enables...
3 months ago cs.CR cs.LG
PDF
Other LOW
Bingyang Kelvin Liu, Ziyu Patrick Chen, David P. Woodruff
Current autoregressive language models couple high-level reasoning and low-level token generation into a single sequential process, making the...
Defense MEDIUM
Md Minhazul Islam Munna, Md Mahbubur Rahman, Jaroslav Frnda +2 more
The proliferation of IoT devices and their reliance on Wi-Fi networks have introduced significant security vulnerabilities, particularly the KRACK...
3 months ago cs.CR cs.LG
PDF
Benchmark HIGH
Liming Lu, Xiang Gu, Junyu Huang +5 more
Large Language Models (LLMs) are increasingly used in agentic systems, where their interactions with diverse tools and environments create complex,...
Attack HIGH
Akshaj Prashanth Rao, Advait Singh, Saumya Kumaar Saksena +1 more
Prompt injection and jailbreaking attacks pose persistent security challenges to large language model (LLM)-based systems. We present PromptScreen,...
3 months ago cs.CR cs.AI cs.CL
PDF
Defense MEDIUM
Kun Zhao, Siyuan Dai, Yingying Zhang +9 more
Early detection of Alzheimer's disease (AD) requires models capable of integrating macro-scale neuroanatomical alterations with micro-scale genetic...
3 months ago cs.LG cs.AI
PDF
Benchmark HIGH
Zhang Wei, Peilu Hu, Zhenyuan Wei +16 more
The increasing deployment of large language models (LLMs) in safety-critical applications raises fundamental challenges in systematically evaluating...
3 months ago cs.CR cs.CL
PDF
Defense LOW
Yang Ni, Tong Yang
Large Language Models (LLMs) and AI chatbots are increasingly used for emotional and mental health support due to their low cost, immediacy, and...
3 months ago cs.CY cs.HC
PDF
Attack HIGH
Jianyi Zhang, Shizhao Liu, Ziyin Zhou +1 more
The rapid advancement of large language models (LLMs) has intensified concerns about the robustness of their safety alignment. While existing...
Tool MEDIUM
Junjun Pan, Yixin Liu, Rui Miao +5 more
Large language model (LLM)-based multi-agent systems (MAS) have shown strong capabilities in solving complex tasks. As MAS become increasingly...
3 months ago cs.CR cs.AI cs.MA
PDF
Defense MEDIUM
Haotian Deng, Chris Farber, Jiyoon Lee +1 more
Automated short-answer grading (ASAG) remains a challenging task due to the linguistic variability of student responses and the need for nuanced,...
3 months ago cs.CL cs.LG
PDF
Tool MEDIUM
Bin Wang, Wenjie Yu, Yilu Zhong +6 more
Large language models (LLMs) for code generation are becoming integral to modern software development, but their real-world prevalence and security...
3 months ago cs.SE cs.AI
PDF
Benchmark MEDIUM
Sumanth Bharadwaj Hachalli Karanam, Dhiwahar Adhithya Kennady
Manual software beta testing is costly and time-consuming, while single-agent large language model (LLM) approaches suffer from hallucinations and...
3 months ago cs.SE cs.AI cs.MA
PDF
Benchmark MEDIUM
Scott Thornton
AI coding assistants produce vulnerable code in 45\% of security-relevant scenarios~\cite{veracode2025}, yet no public training dataset teaches both...
3 months ago cs.CR cs.AI cs.CL
PDF
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