Tianshi Li

63 papers A* 13Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset.
CoRR
Tianshi Li
2026 A* conf
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight.
CHI
Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li
2026 — conf
Disclose with Care: AI Scaffolds for Privacy in Chatbot Interviews.
CHI Extended Abstracts
Ziwen Li, Ziang Xiao, Tianshi Li
2026 J jnl
Disclose with Care: Designing Privacy Controls in Interview Chatbots.
CoRR
Ziwen Li, Ziang Xiao, Tianshi Li
2026 A* conf
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.
CHI
Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang
2026 A* conf
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management.
CHI
Eryue Xu, Tianshi Li
2026 J jnl
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management.
CoRR
Eryue Xu, Tianshi Li
2026 J jnl
PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android.
CoRR
Ibrahim Khalilov, Chaoran Chen, Ziang Xiao, Tianshi Li, Toby Jia-Jun Li, Yaxing Yao
2025 J jnl
'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices.
Proc. ACM Hum. Comput. Interact.
Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, Hong Shen
2025 J jnl
Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents.
CoRR
Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li
2025 J jnl
Beyond Permissions: Investigating Mobile Personalization with Simulated Personas.
CoRR
Ibrahim Khalilov, Chaoran Chen, Ziang Xiao, Tianshi Li, Toby Jia-Jun Li, Yaxing Yao
2025 J jnl
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight.
CoRR
Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li
2025 J jnl
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.
CoRR
Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang
2025 J jnl
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR).
CoRR
Kunlin Cai, Jinghuai Zhang, Ying Li, Zhiyuan Wang, Xun Chen, Tianshi Li, Yuan Tian
2025 A* conf
GenieWizard: Multimodal App Feature Discovery with Large Language Models.
CHI
Jackie (Junrui) Yang, Yingtian Shi, Chris Gu, Zhang Zheng, Anisha Jain, Tianshi Li, Monica S. Lam, James A. Landay
2025 A* conf
HAIPS '25: First ACM CCS Workshop on Human-Centered AI Privacy and Security.
CCS
Tianshi Li, Toby Jia-Jun Li, Yaxing Yao, Sauvik Das
2025 J jnl
Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing.
CoRR
Bingcan Guo, Eryue Xu, Zhiping Zhang, Tianshi Li
2025 J jnl
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting.
CoRR
Jijie Zhou, Niloofar Mireshghallah, Tianshi Li
2025 J jnl
Position: Privacy Is Not Just Memorization!
CoRR
Niloofar Mireshghallah, Tianshi Li
2025 J jnl
PrivacyMotiv: Speculative Persona Journeys for Empathic and Motivating Privacy Reviews in UX Design.
CoRR
Zeya Chen, Jianing Wen, Ruth Schmidt, Yaxing Yao, Toby Jia-Jun Li, Tianshi Li
2025 A* conf
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots.
CHI
Jijie Zhou, Eryue Xu, Yaoyao Wu, Tianshi Li
2025 J jnl
Secret Use of Large Language Model (LLM).
Proc. ACM Hum. Comput. Interact.
Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li
2025 J jnl
The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections.
CoRR
Chaoran Chen, Zhiping Zhang, Bingcan Guo, Shang Ma, Ibrahim Khalilov, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li
2025 J jnl
Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents.
CoRR
Chaoran Chen, Zhiping Zhang, Ibrahim Khalilov, Bingcan Guo, Simret Araya Gebreegziabher, Yanfang Ye, Ziang Xiao, Yaxing Yao, Tianshi Li, Toby Jia-Jun Li
2025 A* conf
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations.
UIST
Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li
2024 J jnl
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices.
CoRR
Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, Hong Shen
2024 A* conf
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
CHI
Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li
2024 A* conf
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
USENIX Security Symposium
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2024 J jnl
Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents.
CoRR
Zhiping Zhang, Bingcan Guo, Tianshi Li
2024 — conf
Human-Centered Privacy Research in the Age of Large Language Models.
CHI Extended Abstracts
Tianshi Li, Sauvik Das, Hao-Ping (Hank) Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang
2024 J jnl
Human-Centered Privacy Research in the Age of Large Language Models.
CoRR
Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang
2024 J jnl
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering.
CoRR
Jiessie Tie, Bingsheng Yao, Tianshi Li, Syed Ishtiaque Ahmed, Dakuo Wang, Shurui Zhou
2024 J jnl
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels.
CoRR
Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, Jason I. Hong
2024 J jnl
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, Jason I. Hong
2024 A* conf
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.
NeurIPS
Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang
2024 J jnl
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.
CoRR
Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang
2024 A* conf
ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models.
CHI
Jackie (Junrui) Yang, Yingtian Shi, Yuhan Zhang, Karina Li, Daniel Wan Rosli, Anisha Jain, Shuning Zhang, Tianshi Li, James A. Landay, Monica S. Lam
2024 J jnl
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for Navigating Privacy Trade-offs in LLM-Based Conversational Agent.
CoRR
Jijie Zhou, Eryue Xu, Yaoyao Wu, Tianshi Li
2024 J jnl
Secret Use of Large Language Models.
CoRR
Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li
2024 J jnl
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations.
CoRR
Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li
2024 J jnl
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
CoRR
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2023 J jnl
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
CoRR
Zhiping Zhang, Michelle Jia, Hao-Ping Hank Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li
2023 J jnl
C-PAK: Correcting and Completing Variable-Length Prefix-Based Abbreviated Keystrokes.
ACM Trans. Comput. Hum. Interact.
Tianshi Li, Philip Quinn, Shumin Zhai
2023 — conf
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
CSCW Companion
Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang
2023 J jnl
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
CoRR
Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang
2022 J jnl
Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone Users.
ACM Trans. Comput. Hum. Interact.
Tianshi Li, Julia Katherine Haines, Miguel Flores Ruiz De Eguino, Jason I. Hong, Jeffrey Nichols
2022 J jnl
Charting App Developers' Journey Through Privacy Regulation Features in Ad Networks.
Proc. Priv. Enhancing Technol.
Mohammad Tahaei, Kopo M. Ramokapane, Tianshi Li, Jason I. Hong, Awais Rashid
2022 A* conf
Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels.
CHI
Tianshi Li, Kayla Reiman, Yuvraj Agarwal, Lorrie Faith Cranor, Jason I. Hong
2022 J jnl
Understanding Privacy-Related Advice on Stack Overflow.
Proc. Priv. Enhancing Technol.
Mohammad Tahaei, Tianshi Li, Kami Vaniea
2022 — conf
Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data.
CHI Extended Abstracts
Yucheng Li, Deyuan Chen, Tianshi Li, Yuvraj Agarwal, Lorrie Faith Cranor, Jason I. Hong
2021 J jnl
Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Tianshi Li, Elijah B. Neundorfer, Yuvraj Agarwal, Jason I. Hong
2021 J jnl
The Design of the User Interfaces for Privacy Enhancements for Android.
CoRR
Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson, Mike Czapik, Shawn Hanna, Swarup Sahoo, Judy Chun, Won-Woo Chung, Aniruddh Iyer, Ally Liu, Shen Lu, Rituparna Roychoudhury, Qian Wang, Shan Wang, Siqi Wang, Vida Zhang, Jessica Zhao, Yuan Jiang, Haojian Jin, Sam Kim, Evelyn Kuo, Tianshi Li, Jinping Liu, Yile Liu, Robert Zhang
2021 J jnl
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention.
Pervasive Mob. Comput.
Tianshi Li, Camille Cobb, Jackie (Junrui) Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong
2020 J jnl
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps.
CoRR
Tianshi Li, Jackie Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong
2020 J jnl
How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on Reddit.
Proc. ACM Hum. Comput. Interact.
Tianshi Li, Elizabeth Louie, Laura Dabbish, Jason I. Hong
2020 J jnl
What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention.
CoRR
Tianshi Li, Camille Cobb, Jackie Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong
2019 — conf
Demystifying Complex Workload-DRAM Interactions: An Experimental Study.
SIGMETRICS (Abstracts)
Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu
2019 J jnl
Demystifying Complex Workload-DRAM Interactions: An Experimental Study.
Proc. ACM Meas. Anal. Comput. Syst.
Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu
2019 J jnl
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study.
CoRR
Saugata Ghose, Tianshi Li, Nastaran Hajinazar, Damla Senol Cali, Onur Mutlu
2018 J jnl
Coconut: An IDE Plugin for Developing Privacy-Friendly Apps.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Tianshi Li, Yuvraj Agarwal, Jason I. Hong
2018 J jnl
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips.
CoRR
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu
2017 J jnl
Using ECC DRAM to Adaptively Increase Memory Capacity.
CoRR
Yixin Luo, Saugata Ghose, Tianshi Li, Sriram Govindan, Bikash Sharma, Bryan Kelly, Amirali Boroumand, Onur Mutlu
2016 A* conf
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.
SIGMETRICS
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu