Publications
Hong, J., Duan, J., Zhang, C., Li, Z., Xie, C., Lieberman, K., Diffenderfer, J., Bartoldson, B., Jaiswal, A., Xu, K., Kailkhura, B., Hendrycks, D., Song, D., Wang, Z., & Li, B. (2024). Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. In ICML 2024 . https://doi.org/10.48550/arXiv.2403.15447
Hong, J., Wang, J., Zhang, C., Li, Z., Li, B., & Wang, Z. (2024). DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. In ICLR 2024 . https://openreview.net/forum?id=Ifz3IgsEPX
Hong, J., Wang, Z., & Zhou, J. (2022). Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. In FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency , 11-35 . https://doi.org/10.1145/3531146.3533070
Li, Q., Hong, J., Xie, C., Tan, J., Xin, R., Hou, J., Yin, X., Wang, Z., Hendrycks, D., Wang, Z., Li, B., He, B., & Song, D. (2024). LLM-PBE: Assessing Data Privacy in Large Language Models. Proceedings of the VLDB Endowment 17 (11) , 3201-3214 . https://doi.org/10.14778/3681954.3681994
Li, Z., Hong, J., Li, B., & Wang, Z. (2024). Shake to Leak: Amplifying the Generative Privacy Risk through Fine-tuning. In IEEE Conference on Secure and Trustworthy Machine Learning (SatML) . https://arxiv.org/abs/2403.09450
Limov, B., El-Masri, A., & Strover, S. (2025). Ethical AI for the City of Austin. https://texastipi.org/wp-content/uploads/2026/04/Final-Report-for-City-of-Austin-August-2025.pdf
Malagavalli, J., Wang, T., & Kockelman, K. (2023). Catching Speeders Via Mobile Phones and Machine Learning: An Opportunity to Improve Speed Enforcement. In Bridging Transportation Researchers (BTR) Conference . https://www.caee.utexas.edu/prof/kockelman/public_html/TRB24CVforSpeedEnforcement.pdf
Perin, G. J., Chen, R., Chen, X., Hirata, N. S. T., Wang, Z., & Hong, J. (2025). LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning. In Conference on Language Modeling (COLM) 2025 . https://doi.org/10.48550/arXiv.2506.15606
Rodarte, A. K., & Varma, A. (2025). (Mis)representing Public Safety: A Case Study of Discursive Disputes Over Street Camera Surveillance. In 75th Annual ICA Conference .
Sanders, A. (2024). Adding Some Bite to Their Bark: Using AI to Transform the Way the Press Covers the Judiciary. Communications Lawyer Winter 2024 . https://www.americanbar.org/groups/communications_law/publications/communications_lawyer/2024-winter/adding-some-bite-their-bark-using-ai-transform-way-press-covers-judiciary/
Sanders, A. K., & Stewart, D. R. (2023). Let's Not Be Dumb: Government Transparency, Public Records Laws, and "Smart City" Technologies. University of Florida Journal of Law & Public Policy 33 (2) , 167-181 . https://web.s.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=1&sid=b0e71da2-1894-426d-aece-49f9137f6009%40redis
Sanders, A. K., Steward, D., & Molchanov, S. (2022). Is It Just Dumb Luck? The Challenge of Getting Access to Public Records Related to Smart City Technology. In National Freedom of Information Summit . https://utexas.box.com/s/a8rhwc2mfayusojlilu2wma3x33o3a3t
Strover, S., & Hurdogan, S. (2026). The Challenges of Public Surveillance. In The International Communication Association, Practicing Trust: Media, Machines and Methods .
Strover, S., & Lalwani, S. (2024). Cities, AI and Local Policies: Laboratories of Limitation. In 52nd Annual Telecommunications Policy Research Conference (TPRC 2024) . https://ssrn.com/abstract=4913636
Strover, S., Cao, T., Esteva, M., & Park, S. (2021). Smart Cities and Ethical Policies: The Challenges of Public Cameras and AI. In TPRC49: The 49th Research Conference on Communication, Information and Internet Policy . https://doi.org/10.2139/ssrn.3898220
Strover, S., Esteva, M., Cao, T., & Park, S. (2021). PUBLIC POLICY MEETS PUBLIC SURVEILLANCE. AoIR Selected Papers of Internet Research . https://doi.org/10.5210/spir.v2021i0.12247
Strover, S., Lalwani, S., & El-Masri, A. (2024). Uneven Eyes: The Impact of Inconsistent Local Surveillance Policies on Public Trust. In TAS '24: Second International Symposium on Trustworthy Autonomous Systems , 1-5 . https://doi.org/10.1145/3686038.3687088
Strover, S., Wang, H., Trace, C. B., Esteva, M., Woodward, E., Limov, B., & El-Masri, A. (2024). Being Watched: Best Practices for Embedding Ethics, Transparency and Accountability in Smart City Surveillance Technologies. https://texastipi.org/new-white-paper-offers-ethical-guidelines-for-procurement-and-management-of-smart-city-technologies/
Wang, H., Hong, J., Zhou, J., & Wang, Z. (2023). How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Transactions on Machine Learning Research . https://doi.org/https://openreview.net/pdf?id=11pGlecTz2
Wang, Y., Chen, R., Li, B., Cho, D., Deng, Y., Zhang, R., Chen, T., Wang, Z., Grama, A., & Hong, J. (2025). More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. In Conference on Language Modeling 2025 . https://doi.org/10.48550/arXiv.2504.02193
Xiang, Z., Zheng, L., Li, Y., Hong, J., Li, Q., Xie, H., Zhang, J., Xiong, Z., Xie, C., Yang, C., & Song, D. (2025). GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. In ICML 2025 Workshop WCUA . https://openreview.net/forum?id=ITuuEaXcSB