Christoph Kerschbaumer (Mozilla Corporation), Frederik Braun (Mozilla Corporation), Simon Friedberger (Mozilla Corporation), Malte Jürgens (Mozilla Corporation)

The web was originally developed in an attempt to allow scientists from around the world to share information efficiently. As the web evolved, the threat model for the web evolved as well. While it was probably acceptable for research to be freely shared with the world, current use cases like online shopping, media consumption or private messaging require stronger security safeguards which ensure that network attackers are not able to view, steal, or even tamper with the transmitted data. Unfortunately the Hypertext Transfer Protocol (http) does not provide any of these required security guarantees.

The Hypertext Transfer Protocol Secure (https) on the other hand allows carrying http over the Transport Layer Security (TLS) protocol and in turn fixes these security shortcomings of http by creating a secure and encrypted connection between the browser and the website. While the majority of websites support https nowadays, https remains an opt-in mechanism that not everyone perceives as necessary or affordable.

In this paper we evaluate the state of https adoption on the web. We survey different mechanisms which allow upgrading connections from http to https, and provide real world browsing data from over 140 million Firefox release users. We provide numbers showcasing https adoption in different geographical regions as well as on different operating systems and highlight the effectiveness of the different upgrading mechanisms. In the end, we can use this analysis to make actionable suggestions to further improve https adoption on the web.

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Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A...

Ningfei Wang (University of California, Irvine), Shaoyuan Xie (University of California, Irvine), Takami Sato (University of California, Irvine), Yunpeng Luo (University of California, Irvine), Kaidi Xu (Drexel University), Qi Alfred Chen (University of California, Irvine)

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Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language...

Aydin Abadi (Newcastle University), Vishnu Asutosh Dasu (Pennsylvania State University), Sumanta Sarkar (University of Warwick)

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Reinforcement Unlearning

Dayong Ye (University of Technology Sydney), Tianqing Zhu (City University of Macau), Congcong Zhu (City University of Macau), Derui Wang (CSIRO’s Data61), Kun Gao (University of Technology Sydney), Zewei Shi (CSIRO’s Data61), Sheng Shen (Torrens University Australia), Wanlei Zhou (City University of Macau), Minhui Xue (CSIRO's Data61)

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