馃敩 Research Summary by聽Rustem Dautov, Erik Johannes Husom, Sagar Sen, and Hui Song, researchers at SINTEF Digital (Norway) exploring the forefront of AI engineering within the IoT-Edge-Cloud continuum. [Original … [Read more...] about Towards Community-Driven Generative AI
Privacy & Security
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
馃敩 Research Summary by聽Arjun Arunasalam, a 4th-year Computer Science Ph.D. student at Purdue University researching security, privacy, and trust on online platforms from a human-centered lens. [Original paper by … [Read more...] about Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Defending Against Authorship Identification Attacks
馃敩 Research Summary by聽Haining Wang, 聽a Ph.D. student at Indiana University Bloomington, specializing in natural language processing and large language models. [Original paper by Haining Wang] Overview: … [Read more...] about Defending Against Authorship Identification Attacks
The E.U.鈥檚 Artificial Intelligence Act: An Ordoliberal Assessment
馃敩 Research Summary by聽Manuel W枚rsd枚rfer, an Assistant Professor of Management and Computing Ethics at the Maine Business School and School of Computing and Information Science at the University of … [Read more...] about The E.U.鈥檚 Artificial Intelligence Act: An Ordoliberal Assessment
Experimenting with Zero-Knowledge Proofs of Training
馃敩 Research Summary by Guru Vamsi Policharla, a computer science PhD student at UC Berkeley. [Original paper by Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi … [Read more...] about Experimenting with Zero-Knowledge Proofs of Training