most citedHow Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice

Sarah Meiklejohn, Sunny Consolvo, Patrick Gage Kelley +5

This paper introduces HelpBench, a benchmark for assessing whether LLMs are capable of providing accurate help in response to questions about digital privacy, safety, and security.…

cs.HC2026

"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams

Jake Chanenson, Tara Matthews, Sunny Consolvo +7

Online financial scams represent a long-standing and serious threat for which people seek help. We present a study to understand people's in situ motivations for engaging with scam…

cs.CR2026

Understanding Help Seeking for Digital Privacy, Safety, and Security

Kurt Thomas, Sai Teja Peddinti, Sarah Meiklejohn +7

The complexity of navigating digital privacy, safety, and security threats often falls directly on users. This leads to users seeking help from family and peers, platforms and advi…

cs.HC2026★ 3 cited

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape

Patrick Gage Kelley, Steven Rousso-Schindler, Renee Shelby +2

Generative AI (GenAI) is a powerful technology poised to reshape Trust & Safety. While misuse by attackers is a growing concern, its defensive capacity remains underexplored. This…

cs.HC2025

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley +3

The proliferation of AI has sparked privacy concerns related to training data, model interfaces, downstream applications, and more. We interviewed 25 AI developers based in Europe…