Welcome!
ABSURD is a regional event for the Boston area to meet and discuss recent work in Usable Security and Privacy, broadly construed. We hope that this can be a venue for everyone to meet, hear more about each others’ work, and potentially develop fruitful collaborations. The ABSURD schedule consists of both research talks and networking events.
The ABSURD 2026 will be held February 27th-28th at Tufts University.
Registration
To register for the event, please fill out the following form. There is no cost to attend.
Schedule
February 27th, 2026
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12:00-12:30pm: Lunch (provided)
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12:30-12:40pm: Welcome and Introductions
- 12:40-1:40pm: Session 1 - On Privacy (Session Chair: Daniel Votipka)
- Disclose with Care: Designing Privacy Controls in Interview Chatbots
- Ziwen Li, Ziang Xiao, and Tianshi Li; Northeastern University
- Expecting Targeted Advertisements? Characterizing Private Data Leakage in Fertility Tracking Apps
- Yeeun Jo; University of Illinois Urbana-Champaign
- Privacy and Security Education in Low-Income School Districts
- Oluwatomilola Idowu; Tufts University
- Exploring the Decision-Making of Youth on the Internet through Interactive Storytelling
- Maya De Los Santos and Christie Cadette; Brown University
- Disclose with Care: Designing Privacy Controls in Interview Chatbots
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1:40-1:55pm: Break
- 1:55-2:40pm: Session 2 - Policy, Policies, and Cryptographers (Session Chair: Tianshi
Li)
- Policy Red Teaming: A Framework for Evaluating Technology Law and Policy
- Sarah Radway, Lu Xian, Zoe Robert, Gretchen Krueger, Oluwatomilola Idowu, Suvi Lama, Eleanor Birrell, Daniel Votipka and James Mickens; Harvard University
- Same Tap, Different Authorities: Analyzing the Privacy Policies of Cubic's Transit Systems Across
Jurisdictions
- Julia Kieserman; New York University
- Building a Guidebook for Collaborations between Cryptographers and Social Good Organizations
- Julie Ha; Boston University
- Policy Red Teaming: A Framework for Evaluating Technology Law and Policy
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2:40-2:50pm: Break
- 2:50-3:50pm: Session 3 - Online Harms (Session Chair: Diana Freed)
- Stop the Nonconsensual Use of Nude Images in Research
- Princessa Cintaqia, Arshia Arya, Elissa M. Redmiles, Deepak Kumar, Allison McDonald, Lucy Qin; Boston University
- Context-Aware Lifecycle Modeling and LLM-Assisted Reasoning for Real-Time Fraud Detection in
Messaging Conversations
- Olawale Akanji; Boston University
- College Students and Scams: Stories from Reddit
- Ayesah Binte Mostofa; University of Massachusetts Amherst
- Proactive Discovery of Scam Shopping Websites via Multimodal Signals
- Miray Ayerdem; Boston University
- Stop the Nonconsensual Use of Nude Images in Research
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3:50-4:15pm: Break
- 4:15-5:00pm: Session 4 - Evaluating Privacy and Security (Session Chair: Kelly Wang)
- Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
- Zhiping Zhang, Yi Evie Zhang, Freda Shi, and Tianshi Li; Northeastern University
- Do We Trust the Copilot: An Empirical Investigation of Developers’ Usage and Perceptions of
AI-generated Code
- Hamza Khalid; Tufts University
- Characterizing the Efficacy of Industry Cybersecurity Self-Assessments
- Apurva Virkud; University of Illinois Urbana-Champaign
- Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
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5:00-5:15pm: Closing Remarks
5:15-6:00pm Posters and Reception
February 28th, 2026
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10:00a-12:00pm: Research Preparation Workshop (details below)
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12:00pm-1:00pm: Lunch (provided)
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1:00p-3:00pm: Continue Research Preparation Workshop
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3:00-3:15pm: Closing Remarks
Posters
- "Let's Get Back to Flirting": Gendered Privacy Risks in AI
Boyfriend Apps
- Maja Mishevska, Elif Cebe, and Neel Rehayee; Brown University
- Responsibly Assisting Technology-Facilitated Abuse Survivor
SupportEcosystem Stakeholders with Generative AI
- Vijay Prakash; New York University
- “How to Hack Your Screen Time”: Exploring the Limits of
Parental Controls for Smartphone Devices
- Alexandra Cox and Samuel Sekyere ; Tufts University
- Designing Privacy-Aware Interactions with AI-based Language
Interpreters for Semi-Public Healthcare Settings. A Work In-Progress
- Daniel Rodriguez Rodriguez; Lexi AI
- Human-LLM Perceptual Gaps in Content Moderation
- Qin Yang and Yuan Hong; University of Conneticut
ABSURD Ideas Workshop
This year we are extending ABUSRD to a two-day event and experimenting with an idea that was proposed during last year's community town hall, i.e., a research preparation workshop. The idea is that you can bring your study ideas to the second day of the event and receive feedback from other members on the community to help you identify challenges you might not have expected or alternative approaches which could strengthen your work. We have developed a strong community of usable security researchers in the Boston area and this seems like a great way to serve each other and get to know each others' work more deeply. We will share more details regarding how this will be organized as we get closer to ABSURD.
Location
All the main events will take place at Tufts University in room 160 of the Joyce Cummings Center (JCC). We are still finalizing details for the reception, which may take place in another nearby location.
Directions and other information
Transportation information is available here, including information for driving/parking and transit. If you are coming from downtown Boston, the easiest way to get to Tufts is via the Green Line E branch. The Tufts/Medford stop is next to the JCC
Visitor parking information for Tufts is available here. The daily rate is $20.
Virtual attendees
Zoom information will be sent to attendees who register for virtual participation a week ahead of the event
Prior Events
Beyond ABSURD
Looking for more ways to engage with other usable security researchers in the Boston area beyond the research day? Check out our other Beyond ABSURD activities we run throughout the year.
Organizing Committee
Daniel Voitpka, Tufts University, daniel.votipka@tufts.edu
Diana Freed, Brown University, Diana_Freed@Brown.edu
Tianshi Li, Northeastern University, tia.li@northeastern.edu
Sponsors
We wish to thank the Tufts Cybersecurity Center for the Public Good, Tufts University Department of Computer Science, the Brown University Computer Science Department, and the Brown University Data Science Institute for their support to make this event happen.
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