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Research Enginner @ Gen AI privacy & security
Research Enginner @ Gen AI privacy & security
Apple Inc.
Apple Inc.
Email: bjiang518@gmail.com
Phone: +1 774-9946310
Linkedin: Bo Jiang
G-scholar: Bo Jiang @ Google Scholar
GitHub: PrivacyGo @ PIlab ,
Facebook: Bo Jiang @ Facebook
Short Bio:
Short Bio:
Bo Jiang received his Ph.D. in ECE at the University of Arizona in 2023, co-advised by Dr. Ming Li, FIEEE, and Dr. Ravi Tandon and he is now a research scientist at Apple, working on agentic AI workflow and security harness. He received his second master's degree from Worcester Polytechnic Institute, MA, in 2017, his bachelor's degree and first master's degree from Harbin Institute of Technology, China in 2013 and 2015, respectively.
Research Interests:
Research Interests:
Agentic system security and privacy, Safty AI, Privacy enhancement technologies, Cyber security, Information Theory, Machine Learning, Wireless Communication, Remote Sensing.
News:
News:
Won Apple's Gen AI hachathon 25'
Joined Apple, as a research engineer on security agentic system for SIRI (Jul. 2025)
Paper "When Focus Enhances Utility: Target Range LDP Frequency Estimation and Unknown Item Discovery", accepted by NDSS, 26'
Paper "Meeting utility constraints in differential privacy: A privacy-boosting approach", accepted by IEEE S&P 25'.
Paper "Budget recycling differential privacy", accepted by IEEE S&P 24'.
Paper "Anonpsi: An anonymity assessment framework for PSI", accepted by NDSS 24'.
Received Ph.D. degree from the University of Arizona. (Aug. 2023).
Awarded Outstanding Graduate student in the Engineering Academy (Dec. 2022).
Joined TikTok, work as a Research Scientist on Privacy Enhancement Technologies. (Oct. 2022).
Finished summer internship @ Mojo vision (Tectus Corporation): Worked on eye-tracking data privacy protection for the world's first-ever Augmented Reality (AR) contact lenses. (Aug, 2022)
Paper "Thompson sampling under bernoulli rewards with local differential privacy" accepted by International Conference on Machine Learning (ICML Workshop), PMLR 139, 2022 (June, 2022)
Last Update: Oct, 2026
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