Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Hiring a postdoctoral researcher and a PhD student for Tübitak-funded project on LLM Privacy
Published:
We are recruiting for a postdoctoral researcher and a PhD student with a background in NLP and/or HCI to work on a TÜBİTAK-funded project in Generative AI and Privacy. The project includes a series of quantitative and qualitative studies to understand user behaviour with Generative AI tools and develop tools to protect user privacy.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Preserving privacy as social responsibility in online social networks
Dilara Keküllüoğlu, Nadin Kökciyan, and Pınar Yolum. Published in ACM Transactions on Internet Technology (TOIT), 2018. PDF
Analysing privacy leakage of life events on twitter
Dilara Keküllüoğlu, Walid Magdy, and Kami Vaniea. Published in Proceedings of the 12th ACM Conference on Web Science, 2020. PDF
Owning and sharing: Privacy perceptions of smart speaker users
Nicole Meng, Dilara Keküllüoğlu, and Kami Vaniea. Published in Proceedings of the ACM on Human-Computer Interaction, 2021. PDF
Understanding privacy switching behaviour on Twitter
Dilara Keküllüoğlu, Kami Vaniea, and Walid Magdy. Published in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022. PDF
From an authentication question to a public social event: Characterizing birthday sharing on Twitter
Dilara Keküllüoğlu, Walid Magdy, and Kami Vaniea. Published in Proceedings of the International AAAI Conference on Web and Social Media, 2022. PDF
Twitter has a Binary Privacy Setting, are Users Aware of How It Works?
Dilara Keküllüoğlu, Kami Vaniea, Maria K. Wolters, and Walid Magdy. Published in Proceedings of the ACM on Human-Computer Interaction, 2023. PDF
"We are a startup to the core": A qualitative interview study on the security and privacy development practices in Turkish software startups
Dilara Keküllüoğlu and Yasemin Acar. Published in 2023 IEEE Symposium on Security and Privacy, 2023. PDF
talks
Analysing Privacy in Online Social Media
Published:
Series of talks around my PhD thesis:
- Guest lecture at the Usable Security and Privacy course at the University of Edinburgh (31 March 2023)
- Summer Institute of Computational Social Science (SICSS) talk (19 June 2023)
‘We are a startup to the core’: A qualitative interview study on the security and privacy development practices in Turkish software startups
Published:
The conference presentation for the paper resulting from my research visit to Max Planck Institue for Security and Privacy. The presentation is here.
Analysing User Behaviours and Assisting Users in Ever Advancing Technology
Published:
Series of research talks in İstanbul in Sabancı University, IEEE Computer Society (Özyeğin University), KUIS AI Talks (Koç University), and Boğaziçi University.
teaching
CS445 Natural Language Processing
Undergrad course, Sabanci University, Computer Science and Engineering Department, 2024
This course studies the theory, design and implementation of natural language processing systems. Topics include text processing, regular expressions, statistical properties of text, language modeling, text classification, sequence modeling, computational morphology, neural networks for NLP, chatbots, large language models.
DSA 440/CS 540 Data and AI Ethics
Double-coded course, Sabanci University, Computer Science and Engineering, 2025
Artificial Intelligence systems have become increasingly involved in our lives. These systems can be used in relatively low-stakes decision making such as recommender systems but they are also used in medical contexts too. More recently, the wider public utilize generative AI tools such as ChatGPT and Midjourney to write documents, reports, and emails, or create pictures, and logos to use in various ways. All of these introduce ethical challenges with implications for data ethics, privacy, bias, sustainability, and so on. This course will introduce the ethical implications of artificial intelligence to the students. We will also discuss our role in this and how to take steps to minimize harm as people working with big data and AI (e.g. future researchers, software engineers, or analysts).