Overview
Neil Gong is interested in cybersecurity and trustworthy AI. He received a B.E. from the University of Science and Technology of China (USTC) in 2010 (with the highest honor) and a Ph.D in Computer Science from the University of California, Berkeley in 2015. He has received NSF CAREER Award (2018), Army Research Office Young Investigator Program (YIP) Award (2021), Rising Star Award from the Association of Chinese Scholars in Computing (2020), IBM Faculty Award (2020, 2023), Facebook Research Award (2021), and multiple best paper or best paper honorable mention awards.
Current Appointments & Affiliations
Associate Professor of Electrical and Computer Engineering
·
2024 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Assistant Professor of Computer Science
·
2019 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Publications
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge
Conference IEEE International Conference on Computer Communications (INFOCOM) · 2019 Estimating frequencies of certain items among a population is a basic step in data analytics, which enables more advanced data analytics (e.g., heavy hitter identification, frequent pattern mining), client software optimization, and detecting unwanted or m ... CiteGraph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation
Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2019 CiteAttribute Inference Attacks in Online Social Networks
Journal Article ACM Transactions on Privacy and Security · February 28, 2018 We propose new privacy attacks to infer attributes (e.g., locations, occupations, and interests) of online social network users. Our attacks leverage seemingly innocent user information that is publicly available in online social netwo ... Full text CiteRecent Grants
Collaborative Research: SaTC: EDU: A Lab-based Curriculum for Watermarking AI-Generated Content: Theory, Algorithms, and Robustness Testing
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027Collaborative Research: SaTC: CORE: Medium: Towards Secure Federated Learning
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2022 - 2026AI Institute: Athena: AI-Driven Next-generation Networks at the Edge
ResearchSenior Investigator · Awarded by National Science Foundation · 2021 - 2026View All Grants
Education, Training & Certifications
University of California, Berkeley ·
2015
D.Phil.
University of Science and Technology of China (China) ·
2010
B.S.E.