PhD, Information and Computer Science, University of California, Irvine
Other professional appointments
Faculty Affiliate, Department of Computer Science, Illinois
Faculty Affiliate, Illinois Informatics
Faculty Affiliate, Institute of Software Research (ISR), University of California, Irvine
Honors and Awards
- Facebook Privacy Preserving Technologies Research Award, 2020
- Co-director, Humanities Research Institute (HRI) Research Cluster on "AI & Society"
- Best Paper Honorable Mention at the ACM CSCW Conference
- IAPP SOUPS Privacy Award 2019
- NSF CAREER award
- Best Paper Honorable Mention at the ACM CHI Conference
- Top Privacy Paper for Policy Makers selected by the Future of Privacy Forum
- Robert Benjamin Junior Faculty Achievement Award, School of Information Studies, Syracuse University
Yang Wang is an associate professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign. He co-directs the Social Computing Systems (SALT) Lab. He was previously an assistant professor in the School of Information Studies at Syracuse University and a research scientist in CyLab at Carnegie Mellon University. His research is centered around usable privacy and security, and social computing. His work has appeared in news media such as The New York Times, Wall Street Journal, BBC, and China Daily. His research has been supported by the National Science Foundation, Department of Health and Human Services, Google, Alcatel-Lucent, and The Privacy Projects. He received his PhD in information and computer science from the University of California, Irvine.
By appointment, please contact professor
Publications & Papers
Z. Kilhoffer, Z. Zhou, F. Wang, F. Tamton, Y. Huang, P. Kim, Tom Yeh, Y. Wang. "How technical do you get? I'm an English teacher: Teaching and Learning Cybersecurity and AI Ethics in High School". Proceedings of IEEE Symposium on Security and Privacy (S&P2023).
N. Barbosa, J. Hayes, S. Kaushik, Y. Wang. "Every Website Is A Puzzle!: Facilitating Access to Common Website Features for People with Visual Impairments". ACM Transactions on Accessible Computing (TACCESS), 2022.
J. Mink, L. Luo, N. Barbosa, O. Figueira, Y. Wang, G. Wang. DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks. Proceedings of the 31th USENIX Security Symposium (USENIX Security2022).
Y. Wang and C. Price. Accessible Privacy. In :Modern Socio-Technical Perspectives on Privacy: Edited by Knijnenburg et al. Springer (2022).
N. Barbosa, G. Wang, B. Ur, Y. Wang. "Who Am I? A Design Probe Exploring Real-Time Transparency About Online and Offline User Profiling Underlying Targeted Ads. The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies" (IMWUT). Oral presentation at UbiComp2021.
H. Hu, S. Jan, Y. Wang, G. Wang. Assessing Browser-Level Defense against IDN-Based Phishing. Proceedings of the 30th USENIX Security Symposium (USENIX Security2021).
Z. Zhang, Z. Zhang, H. Yuan, N. Barbosa, S. Das, Y. Wang. "WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments." Proceedings of the Symposium on Usable Privacy and Security (SOUPS2021).
S. Kaushik, Y. Yao, P. Dewitte, Y. Wang. "How I Know For Sure: People's Perspectives on Solely Automated Decision-Making (SADM). Proceedings of the Symposium on Usable Privacy and Security" (SOUPS2021). [IAPP SOUPS Privacy Award]
N. Barbosa, Z. Zhang, Y. Wang (2020). "Do Privacy and Security Matter to Everyone? Quantifying and Clustering User-Centric Considerations About Smart Home Device Adoption". Proceedings of the Symposium on Usable Privacy and Security (SOUPS2020).
Y. Yao, J. Basdeo, O. Rosata, Y. Wang. "Privacy Perceptions and Designs of Bystanders in Smart Homes". Proceedings of the ACM (PACM): Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing (CSCW2019).
N. Barbosa, J. Park, Y. Yao, Y. Wang. "What if?" Predicting Individual Users' Smart Home Privacy Preferences and Their Changes. PrivacyCon 2019, Federal Trade Commission (FTC), DC, USA. June 2019.
Y. Wang. Folk models of Online Behavioral Advertising. Brave. May 2019.
Y Wang. Inclusive Privacy and Security. Facebook. Menlo Park, CA, USA. April 2019.
Y Wang. The Third Wave? Inclusive Privacy and Security. Fourteenth Symposium on Usable Privacy and Security (SOUPS 2018), Baltimore, MD, USA. August 2018.
Y. Wang. The Third Wave? Inclusive Privacy and Security. Institute of Software Research (ISR), University of California, Irvine, CA, USA. June 2018.
H. Xia, Y. Wang, Y. Huang, A. Shah. "Our Privacy Needs To Be Protected At All Costs": Crowd Workers' Privacy Experiences on Mechanical Turk. PrivacyCon2018, Federal Trade Commission (FTC), DC, USA. February 2018.
Y. Wang. The Third Wave? Inclusive Privacy and Security. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. March 2017.
Y. Yao, D. Lo Re, Y. Wang: Folk Models of Online Behavioral Advertising. PrivacyCon2017, Federal Trade Commission (FTC), DC, USA. January 2017.
Y. Wang, H. Xia, Y. Yao, Y. Huang. Privacy Perceptions of Civilian Drones in The US. Federal Trade Commission (FTC), DC, USA. October 2016.
Y. Wang. From Facebook Regrets to Facebook Nudges. IBM Research, Almaden, CA, USA. July 2014.
Active Research Projects
In the News
- Artificial Intelligence and Machine Learning
- Computational Social Science, Social Computing
- Computing for Social Good
- Diversity and Social Justice
- Ethics and Values for Information
- FATE (fairness, accountability, transparency, ethics)
- Human Computer Interaction, User Experience, Computer Supported Cooperative Work
- Privacy, Security, and Trust
- Social Media