Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Roesner, Franziska"'
Autor:
Brigham, Natalie Grace, Gao, Chongjiu, Kohno, Tadayoshi, Roesner, Franziska, Mireshghallah, Niloofar
Journalists are among the many users of large language models (LLMs). To better understand the journalist-AI interactions, we conduct a study of LLM usage by two news agencies through browsing the WildChat dataset, identifying candidate interactions,
Externí odkaz:
http://arxiv.org/abs/2406.13706
Autor:
Wei, Miranda, Consolvo, Sunny, Kelley, Patrick Gage, Kohno, Tadayoshi, Matthews, Tara, Meiklejohn, Sarah, Roesner, Franziska, Shelby, Renee, Thomas, Kurt, Umbach, Rebecca
Publikováno v:
Proceedings of the 33rd USENIX Security Symposium (USENIX Security 2024)
Image-based sexual abuse (IBSA), like other forms of technology-facilitated abuse, is a growing threat to people's digital safety. Attacks include unwanted solicitations for sexually explicit images, extorting people under threat of leaking their ima
Externí odkaz:
http://arxiv.org/abs/2406.12161
Autor:
Wei, Miranda, Mink, Jaron, Eiger, Yael, Kohno, Tadayoshi, Redmiles, Elissa M., Roesner, Franziska
Publikováno v:
Proceedings of the 33rd USENIX Security Symposium (USENIX Security 2024)
Researchers are increasingly exploring how gender, culture, and other sociodemographic factors correlate with user computer security and privacy behaviors. To more holistically understand relationships between these factors and behaviors, we make two
Externí odkaz:
http://arxiv.org/abs/2404.10187
Autor:
Vombatkere, Karan, Mousavi, Sepehr, Zannettou, Savvas, Roesner, Franziska, Gummadi, Krishna P.
Recommendation algorithms for social media feeds often function as black boxes from the perspective of users. We aim to detect whether social media feed recommendations are personalized to users, and to characterize the factors contributing to person
Externí odkaz:
http://arxiv.org/abs/2403.12410
Large language models (LLMs) extended as systems, such as ChatGPT, have begun supporting third-party applications. These LLM apps leverage the de facto natural language-based automated execution paradigm of LLMs: that is, apps and their interactions
Externí odkaz:
http://arxiv.org/abs/2403.04960
Data collection purposes and their descriptions are presented on almost all privacy notices under the GDPR, yet there is a lack of research focusing on how effective they are at informing users about data practices. We fill this gap by investigating
Externí odkaz:
http://arxiv.org/abs/2312.07348
Large language model (LLM) platforms, such as ChatGPT, have recently begun offering an app ecosystem to interface with third-party services on the internet. While these apps extend the capabilities of LLM platforms, they are developed by arbitrary th
Externí odkaz:
http://arxiv.org/abs/2309.10254
Autor:
Wei, Miranda, Consolvo, Sunny, Kelley, Patrick Gage, Kohno, Tadayoshi, Roesner, Franziska, Thomas, Kurt
Publikováno v:
Proceedings of the 2023 Conference on Human Factors in Computing Systems (CHI)
Online hate and harassment poses a threat to the digital safety of people globally. In light of this risk, there is a need to equip as many people as possible with advice to stay safer online. We interviewed 24 experts to understand what threats and
Externí odkaz:
http://arxiv.org/abs/2302.08057
Autor:
Zannettou, Savvas, Nemeth, Olivia-Nemes, Ayalon, Oshrat, Goetzen, Angelica, Gummadi, Krishna P., Redmiles, Elissa M., Roesner, Franziska
Short-format videos have exploded on platforms like TikTok, Instagram, and YouTube. Despite this, the research community lacks large-scale empirical studies into how people engage with short-format videos and the role of recommendation systems that o
Externí odkaz:
http://arxiv.org/abs/2301.04945
Autor:
Iqbal, Umar, Bahrami, Pouneh Nikkhah, Trimananda, Rahmadi, Cui, Hao, Gamero-Garrido, Alexander, Dubois, Daniel, Choffnes, David, Markopoulou, Athina, Roesner, Franziska, Shafiq, Zubair
Smart speakers collect voice commands, which can be used to infer sensitive information about users. Given the potential for privacy harms, there is a need for greater transparency and control over the data collected, used, and shared by smart speake
Externí odkaz:
http://arxiv.org/abs/2204.10920