2,529+ academic papers on AI security, attacks, and defenses
Showing 281–296 of 296 papers
Clear filtersGamze Kirman Tokgoz, Onat Gungor, Tajana Rosing +1 more
Time-series forecasting aims to predict future values by modeling temporal dependencies in historical observations. It is a critical component of...
Adam Stein, Davis Brown, Hamed Hassani +2 more
To identify safety violations, auditors often search over large sets of agent traces. This search is difficult because failures are often rare,...
Wei Zhao, Zhe Li, Peixin Zhang +1 more
Tool-augmented Large Language Model (LLM) agents have demonstrated impressive capabilities in automating complex, multi-step real-world tasks, yet...
Ricardo Bessa, Rui Claro, João Trindade +1 more
Large Language Models (LLMs) are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human...
Javad M Alizadeh, Genhui Zheng, Chiu C Tan +7 more
People experiencing homelessness (PEH) face substantial barriers to accessing timely, accurate information about community services. DreamKG...
Junxiao Yang, Haoran Liu, Jinzhe Tu +9 more
Large language models (LLMs) often demonstrate strong safety performance in high-resource languages, yet exhibit severe vulnerabilities when queried...
Ningyan Zhu, Huacan Wang, Jie Zhou +8 more
The rise of OpenClaw in early 2026 marks the moment when millions of users began deploying personal AI agents into their daily lives, delegating...
Hanbo Huang, Xuan Gong, Yiran Zhang +2 more
Large language model (LLM) watermarking has emerged as a promising approach for detecting and attributing AI-generated text, yet its robustness to...
Jinhua Wang, Biswa Sengupta
Cross-language migration of large software systems is a persistent engineering challenge, particularly when the source codebase evolves rapidly. We...
Ricardo Bessa, Rui Claro, João Trindade +1 more
The application of Machine Learning techniques in code generation is now a common practice for most developers. Tools such as ChatGPT from OpenAI...
Dzenan Hamzic, Florian Skopik, Max Landauer +2 more
Cyber threat intelligence (CTI) analysts must answer complex questions over large collections of narrative security reports. Retrieval-augmented...
Yiran Ling, Wenxuan Li, Siying Dong +5 more
Robot grasping of desktop object is widely used in intelligent manufacturing, logistics, and agriculture.Although vision-language models (VLMs) show...
Yihao Zhang, Kai Wang, Jiangrong Wu +7 more
Large Language Models (LLMs) face prominent security risks from jailbreaking, a practice that manipulates models to bypass built-in security...
Zhixiang Lu, Jionglong Su
Multimodal Large Language Models (MLLMs) in healthcare suffer from severe confirmation bias, often hallucinating visual details to support initial,...
Navid Azimi, Aditya Prakash, Yao Wang +1 more
Deep neural networks remain highly vulnerable to adversarial perturbations, limiting their reliability in security- and safety-critical applications....
Shuhao Zhang, Yuli Chen, Jiale Han +2 more
Watermarking provides a critical safeguard for large language model (LLM) services by facilitating the detection of LLM-generated text....
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