DARPA开发 brandeis概率建模系统,保护个人和企业专有信息(英文)

据mil-embedded网2020年3月31日报道,马萨诸塞州情报系统开发商查尔斯河分析公司与伽罗瓦公司联手将概率建模系统集成到DARPA的brandeis计划,该计划旨在研制保护个人和企业私有和专有信息的技术手段,伽罗瓦公司牵头的研究团队负责开发评估隐私感知系统有效性的技术。采用边信道信息和复杂域先验模型来评估系统对抗复杂对手的能力。

Probabilistic modeling goal of DARPA’s Brandeis program

CAMBRIDGE, Mass. Charles River Analytics Inc., developer of intelligent systems solutions, partnered with Galois, Inc. to integrate probabilistic modeling into the Defense Advanced Research Projects Agency’s (DARPA) Brandeis program.

Under the Brandeis program — which seeks to develop the technical means to protect the private and proprietary information of individuals and enterprises — the Galois-led TAMBA team developed technology to evaluate the effectiveness of privacy-aware systems.

Some new privacy systems employ encryption and differential privacy algorithms, with the goal of preventing others from inferring sensitive data. Charles River Analytics developed an approach to test these systems—inference algorithms for probabilistic models are used to determine whether the sensitive information under protection can be inferred.

The approach incorporates side-channel information and complex domain prior models to evaluate the strength of the system against sophisticated adversaries. This probabilistic approach also provided a platform for improving the utility of these systems by enhancing accuracy without reducing privacy, according to the company.