Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Mazurek, Michelle L."'
Influencer VPN ads (sponsored segments) on YouTube often disseminate misleading information about both VPNs, and security & privacy more broadly. However, it remains unclear how (or whether) these ads affect users' perceptions and knowledge about VPN
Externí odkaz:
http://arxiv.org/abs/2406.13017
Autor:
Akgul, Omer, Peddinti, Sai Teja, Taft, Nina, Mazurek, Michelle L., Harkous, Hamza, Srivastava, Animesh, Seguin, Benoit
We present an analysis of 12 million instances of privacy-relevant reviews publicly visible on the Google Play Store that span a 10 year period. By leveraging state of the art NLP techniques, we examine what users have been writing about privacy alon
Externí odkaz:
http://arxiv.org/abs/2403.02292
Autor:
Bellini, Rosanna, Tseng, Emily, Warford, Noel, Daffalla, Alaa, Matthews, Tara, Consolvo, Sunny, Woelfer, Jill Palzkill, Kelley, Patrick Gage, Mazurek, Michelle L., Cuomo, Dana, Dell, Nicola, Ristenpart, Thomas
Research involving at-risk users -- that is, users who are more likely to experience a digital attack or to be disproportionately affected when harm from such an attack occurs -- can pose significant safety challenges to both users and researchers. N
Externí odkaz:
http://arxiv.org/abs/2309.00735
Autor:
Akgul, Omer, Eghtesad, Taha, Elazari, Amit, Gnawali, Omprakash, Grossklags, Jens, Mazurek, Michelle L., Votipka, Daniel, Laszka, Aron
Although researchers have characterized the bug-bounty ecosystem from the point of view of platforms and programs, minimal effort has been made to understand the perspectives of the main workers: bug hunters. To improve bug bounties, it is important
Externí odkaz:
http://arxiv.org/abs/2301.04781
Autor:
Warford, Noel, Matthews, Tara, Yang, Kaitlyn, Akgul, Omer, Consolvo, Sunny, Kelley, Patrick Gage, Malkin, Nathan, Mazurek, Michelle L., Sleeper, Manya, Thomas, Kurt
At-risk users are people who experience elevated digital security, privacy, and safety threats because of what they do, who they are, where they are, or who they are with. In this systematization work, we present a framework for reasoning about at-ri
Externí odkaz:
http://arxiv.org/abs/2112.07047
People are frequently required to send documents, forms, or other materials containing sensitive data (e.g., personal information, medical records, financial data) to remote parties, sometimes without a formal procedure to do so securely. The specifi
Externí odkaz:
http://arxiv.org/abs/2105.14619
Autor:
Saha, Debjani, Schumann, Candice, McElfresh, Duncan C., Dickerson, John P., Mazurek, Michelle L., Tschantz, Michael Carl
Bias in machine learning has manifested injustice in several areas, such as medicine, hiring, and criminal justice. In response, computer scientists have developed myriad definitions of fairness to correct this bias in fielded algorithms. While some
Externí odkaz:
http://arxiv.org/abs/2001.00089
Autor:
Votipka, Daniel, Rabin, Seth M., Micinski, Kristopher, Foster, Jeffrey S., Mazurek, Michelle L.
Reverse engineering is a complex process essential to software-security tasks such as vulnerability discovery and malware analysis. Significant research and engineering effort has gone into developing tools to support reverse engineers. However, litt
Externí odkaz:
http://arxiv.org/abs/1912.00317
Autor:
Parker, James, Hicks, Michael, Ruef, Andrew, Mazurek, Michelle L., Levin, Dave, Votipka, Daniel, Mardziel, Piotr, Fulton, Kelsey R.
Typical security contests focus on breaking or mitigating the impact of buggy systems. We present the Build-it, Break-it, Fix-it (BIBIFI) contest, which aims to assess the ability to securely build software, not just break it. In BIBIFI, teams build
Externí odkaz:
http://arxiv.org/abs/1907.01679
Publikováno v:
2018 ACM Conference on Economics and Computation
Accurately modeling human decision-making in security is critical to thinking about when, why, and how to recommend that users adopt certain secure behaviors. In this work, we conduct behavioral economics experiments to model the rationality of end-u
Externí odkaz:
http://arxiv.org/abs/1805.06542