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Privacy, Security, and Identity / Privacy-Enhancing Technologies

Sensitive data holders struggle to collaborate with others to build AI models under privacy constraints.

lightbulbPractical problemPrivacy-Enhancing Technologies

Sensitive data holders struggle to collaborate with others to build AI models under privacy constraints.

UbiComp '23Sandbox AI: We Don’t Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data

Similar questions

lightbulbPractical problemPrivacy-Enhancing Technologies

Employees find cybersecurity measures burdensome and fear punishment for raising cybersecurity concerns.

CHI '25Using Anonymous Discussion Platforms to Support Open Conversations about Cybersecurity in Organisations

lightbulbPractical problemPrivacy-Enhancing Technologies

Ordinary users struggle to understand risks in smart contracts, potentially causing financial losses.

CHI '25Understanding End-User Perception of Transfer Risks in Smart Contracts

lightbulbPractical problemPrivacy-Enhancing Technologies

Non-technical users struggle to complete complex VeraCrypt device encryption tasks.

CHI '25Bridging the Gap Between Usable Security Research and Open-Source Practice — Lessons From a Long-Term Engagement With VeraCrypt

lightbulbPractical problemPrivacy-Enhancing Technologies

Cryptocurrency users face diverse choices and complexity when selecting wallets and securing assets.

CHI '24"Don't put all your eggs in one basket": How Cryptocurrency Users Choose and Secure Their Wallets

lightbulbPractical problemPrivacy-Enhancing Technologies

It is difficult to effectively prevent child sexual abuse material distribution in the face of end-to-end encryption.

CHI '24Mental Models, Expectations and Implications of Client-Side Scanning: An Interview Study with Experts

lightbulbPractical problemPrivacy-Enhancing Technologies

Federated learning systems are vulnerable to privacy leakage and edge-case backdoor attacks.

UbiComp '23Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks

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Using Anonymous Discussion Platforms to Support Open Conversations about Cybersecurity in Organisations

Eve Jenkins, Dinislam Abdulgalimov, Pamela Briggs

Understanding End-User Perception of Transfer Risks in Smart Contracts

Yustynn Panicker, Ezekiel Soremekun, Sudipta Chattopadhyay

Bridging the Gap Between Usable Security Research and Open-Source Practice — Lessons From a Long-Term Engagement With VeraCrypt

Felix Reichmann, Annalina Buckmann, Konstantin Fischer

"Don't put all your eggs in one basket": How Cryptocurrency Users Choose and Secure Their Wallets

Yaman Yu, Tanusree Sharma, Sauvik Das

Mental Models, Expectations and Implications of Client-Side Scanning: An Interview Study with Experts

Divyanshu Bhardwaj, Carolyn Guthoff, Adrian Dabrowski

Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks

Fatima Elhattab, Sara Bouchenak, Rania Talbi

Learning to Navigate Health Taboos through Online Safe Spaces

Hannah Tam, Karthik S Bhat, Priyanka Mohindra

Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science

Jayshree Sarathy, Sophia Song, Audrey Haque

The U in Crypto Stands for Usable: An Empirical Study of User Experience with Mobile Cryptocurrency Wallets

Artemij Voskobojnikov, Oliver Wiese, Masoud Mehrabi Koushki

Prototyping for Social Wellbeing with Early Social Media Users

Linda Charmaraman, Catherine Grevet Delcourt

Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences

Renwen Zhang, Natalya N. Bazarova, Madhu Reddy

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

Nitin Agrawal, Reuben Binns, Max Van Kleek