Jasmin Schwab (German Aerospace Center (DLR)), Alexander Nussbaum (University of the Bundeswehr Munich), Anastasia Sergeeva (University of Luxembourg), Florian Alt (University of the Bundeswehr Munich and Ludwig Maximilian University of Munich), and Verena Distler (Aalto University)

Organizations depend on their employees’ long-term cooperation to help protect the organization from cybersecurity threats. Phishing attacks are the entry point for harmful followup attacks. The acceptance of training measures is thus crucial. Many organizations use simulated phishing campaigns to train employees to adopt secure behaviors. We conducted a preregistered vignette experiment (N=793), investigating the factors that make a simulated phishing campaign seem (un)acceptable, and their influence on employees’ intention to manipulate the campaign. In the experiment, we varied whether employees gave prior consent, whether the phishing email promised a financial incentive and the consequences for employees who clicked on the phishing link. We found that employees’ prior consent positively affected the acceptance of a simulated phishing campaign. The consequences of “employee interview” and “termination of the work contract” negatively affected acceptance. We found no statistically significant effects of consent, monetary incentive, and consequences on manipulation probability. Our results shed light on the factors influencing the acceptance of simulated phishing campaigns. Based on our findings, we recommend that organizations prioritize obtaining informed consent from employees before including them in simulated phishing campaigns and that they clearly describe their consequences. Organizations should carefully evaluate the acceptance of simulated phishing campaigns and consider alternative anti-phishing measures.

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Cross-National Study on Phishing Resilience

Shakthidhar Reddy Gopavaram (Indiana University), Jayati Dev (Indiana University), Marthie Grobler (CSIRO’s Data61), DongInn Kim (Indiana University), Sanchari Das (University of Denver), L. Jean Camp (Indiana University)

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Secure Transformer Inference Made Non-interactive

Jiawen Zhang (Zhejiang University), Xinpeng Yang (Zhejiang University), Lipeng He (University of Waterloo), Kejia Chen (Zhejiang University), Wen-jie Lu (Zhejiang University), Yinghao Wang (Zhejiang University), Xiaoyang Hou (Zhejiang University), Jian Liu (Zhejiang University), Kui Ren (Zhejiang University), Xiaohu Yang (Zhejiang University)

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NDSS Symposium 2025 Welcome and Opening Remarks

General Chairs: David Balenson, USC Information Sciences Institute and Heng Yin, University of California, Riverside Program Chairs: Christina Pöpper, New York University Abu Dhabi and Hamed Okhravi, MIT Lincoln Laboratory Artifact Evaluation Chairs: Daniele Cono D’Elia, Sapienza University and Mathy Vanhoef, KU Leuven

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