Leveraging Large Language Models to Bridge On-chain and Off-chain Transparency in Stablecoins
Authors: Yuexin Xiang, Yuchen Lei, SM Mahir Shazeed Rish, Yuanzhe Zhang, Qin Wang, Tsz Hon Yuen, Jiangshan Yu | Published: 2025-12-02
Risk Analysis Method
Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
Authors: Jingen Qu, Lijun Li, Bo Zhang, Yichen Yan, Jing Shao | Published: 2025-09-04
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline
Authors: Tyler Shumaker, Jessica Carpenter, David Saranchak, Nathaniel D. Bastian | Published: 2025-09-04
Identifying Likely-Reputable Blockchain Projects on Ethereum
Authors: Cyrus Malik, Josef Bajada, Joshua Ellul | Published: 2025-03-14
Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs
Authors: Haywood Gelman, John D. Hastings | Published: 2025-02-10 | Updated: 2025-04-07
S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
Authors: Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Jialuo Chen, Hui Xue, Xiaoxia Liu, Wenhai Wang, Kui Ren, Jingyi Wang | Published: 2024-05-23 | Updated: 2025-04-07
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Authors: Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa | Published: 2023-12-07
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Authors: Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Acs | Published: 2022-05-13 | Updated: 2022-06-09
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
Authors: Josh Kalin, David Noever, Matthew Ciolino | Published: 2021-03-03 | Updated: 2021-07-07