Synergizing DP and MPC for Privacy-Preserving Ad Measurement | Kisaco Research

Our presentation delves into the innovative integration of Differential Privacy (DP) and Secure Multiparty Computation (MPC) to develop advanced PETs for ad measurement. Our technology tackles the critical challenges of preserving user privacy in advertising by preventing advertisers and publishers from tracking users' activities across platforms. This approach not only safeguards user privacy but also enables valuable ad measurement insights, benefiting both advertisers and publishers.

Sponsor(s): 
Tick Tok
Speaker(s): 

Author:

Dr. Yongjun Zhao

Research Scientist
TikTok

Dr. Yongjun Zhao is a research scientist at TikTok working on the theories and practices of privacy-enhancing technologies. Prior to joining TikTok, he was a senior research fellow at Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS), Nanyang Technological University. 

Dr. Yongjun Zhao

Research Scientist
TikTok

Dr. Yongjun Zhao is a research scientist at TikTok working on the theories and practices of privacy-enhancing technologies. Prior to joining TikTok, he was a senior research fellow at Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS), Nanyang Technological University.