Yusuke Kubo (NTT DOCOMO BUSINESS, Inc. / Waseda University), Fumihiro Kanei (NTT DOCOMO BUSINESS, Inc.), Mitsuaki Akiyama (NTT, Inc.), Takuro Wakai (Waseda University), Tatsuya Mori (Waseda University / NICT / RIKEN AIP)

GitHub Actions has become a dominant Continuous Integration/Continuous Delivery (CI/CD) platform, yet recent supply chain attacks like SolarWinds and tj-actions/changed-files highlight critical security vulnerabilities in such systems. While GitHub provides official security practices to mitigate these risks, the extent of their real-world implementation remains unknown. We present a mixed-methods study analyzing 338,812 public repositories and surveying over 100 developers to understand security practice implementation in GitHub Actions. Our findings reveal alarmingly low implementation rates across five key security practices, ranging from 0.6% to 52.9%. We identify three primary barriers: lack of awareness (up to 71.6% of non-adopters were unaware of practices), misconceptions about applicability, and concerns about operational costs. Repository characteristics such as organization ownership and recent development activity significantly correlate with better security practice implementation. Based on these empirical insights, we derive actionable recommendations that align intervention strategies with appropriate levels of automation, improve notification design to support awareness, strengthen platform- and IDE-level assistance, and clarify documentation on risks and applicability.

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OCCUPY+PROBE: Cross-Privilege Branch Target Buffer Side-Channel Attacks at Instruction...

Kaiyuan Rong (Tsinghua University, Zhongguancun Laboratory), Junqi Fang (Tsinghua University, Zhongguancun Laboratory), Haixia Wang (Tsinghua University), Dapeng Ju (Tsinghua University, Zhongguancun Laboratory), Dongsheng Wang (Tsinghua University, Zhongguancun Laboratory)

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Prεεmpt: Sanitizing Sensitive Prompts for LLMs

Amrita Roy Chowdhury (University of Michigan, Ann Arbor), David Glukhov (University of Toronto), Divyam Anshumaan (University of Wisconsin), Prasad Chalasani (Langroid), Nicholas Papernot (University of Toronto), Somesh Jha (University of Wisconsin), Mihir Bellare (UCSD)

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MUTATO: Enhancing Fuzz Drivers with Adaptive API Option Mutation

Shuangxiang Kan (University of New South Wales), Xiao Cheng (Macquarie University), Yuekang Li (University of New South Wales)

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