Tags → #security risks

Recent advancements in partial quantization techniques aim to enhance the security and efficiency of fine-tuned language models, addressing challenges related to model integrity and resource management.

A study from Delft University of Technology has identified vulnerabilities in Bloom filter-based private set intersection protocols, highlighting the risks of false positives and proposing strategies to enhance security.

The Microsoft Power Pages Web API is under scrutiny for potential exposure of sensitive Personally Identifiable Information due to misconfigurations and excessive permissions.