Tamara Bondar, Hala Assal, AbdelRahman Abdou (Carleton University)

In efforts to understand the reasons behind Internet-connected devices remaining vulnerable for a long time, previous literature analyzed the effectiveness of large-scale vulnerability notifications on remediation rates. Herein we focus on the perspective of system administrators. Through an online survey study with 89 system administrators worldwide, we investigate factors affecting their decisions to remediate or ignore a security vulnerability. We use Censys to find servers with vulnerable public-facing services, extract the abuse contact information from WHOIS, and email an invitation to fill out the survey. We found no evidence that awareness of the existence of a vulnerability affects remediation plans, which explains the consistently small remediation rates following notification campaigns conducted in previous research. More interestingly, participants did not agree on a specific factor as the primary cause for lack of remediation. Many factors appeared roughly equally important, including backwards compatibility, technical knowledge, available resources, and motive to remediate.

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BrowserFM: A Feature Model-based Approach to Browser Fingerprint Analysis

Maxime Huyghe (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Clément Quinton (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Walter Rudametkin (Univ. Rennes, Inria, CNRS, UMR 6074 IRISA)

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WIP: Practical Removal Attacks on LiDAR-based Object Detection in...

Takami Sato (University of California, Irvine), Yuki Hayakawa (Keio University), Ryo Suzuki (Keio University), Yohsuke Shiiki (Keio University), Kentaro Yoshioka (Keio University), Qi Alfred Chen (University of California, Irvine)

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The “Beatrix” Resurrections: Robust Backdoor Detection via Gram Matrices

Wanlun Ma (Swinburne University of Technology), Derui Wang (CSIRO’s Data61), Ruoxi Sun (The University of Adelaide & CSIRO's Data61), Minhui Xue (CSIRO's Data61), Sheng Wen (Swinburne University of Technology), Yang Xiang (Digital Research & Innovation Capability Platform, Swinburne University of Technology)

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Privacy-Preserving Database Fingerprinting

Tianxi Ji (Texas Tech University), Erman Ayday (Case Western Reserve University), Emre Yilmaz (University of Houston-Downtown), Ming Li (CSE Department The University of Texas at Arlington), Pan Li (Case Western Reserve University)

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