Original: https://ceur-ws.org/Vol-4154/ | Mirror: https://ceur-ws.wikidata.dbis.rwth-aachen.de/Vol-4154/ | Year: 2025

Vol-4154
urn:nbn:de:0074-4154-x

Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under https://creativecommons.org/licenses/by/4.0/.

SPAIML 2025

Proceedings of the 1st International Workshop on Security and Privacy-Preserving AI/ML
co-located with ECAI 2025

Bologna, Italy, October 26th, 2025.

Edited by

Jens Leicht
Julien Lukasewycz
Malte Josten
Torben Weis

Table of Contents

PDF
Alignment and Adversarial Robustness: Are More Human-Like Models More Secure? 1-10 PDF
Blaine Hoak, Kunyang Li, Patrick McDaniel
Collaborative Reinforcement Learning for Cyber Defense: Analysis of Strategies, and Policies 11-20 PDF
Davide Rigoni, Rafael Fernandes Cunha, Frank Fransen, Puck de Haan, Amir Javadpour, Fatih Turkmen
Experimental Evaluation of Non-Natural Language Prompt Injection Attacks on LLMs 21-30 PDF
Huynh Phuong Thanh Nguyen, Shivang Kumar, Katsutoshi Yotsuyanagi, Razvan Beuran
Preliminary Investigation into Uncertainty-Aware Attack Stage Classification 31-41 PDF
Alessandro Gaudenzi, Lorenzo Nodari, Lance Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti
Abstract: Should I trust it with my data? Capabilities, limits, and perspectives of AI technologies for privacy 42-42 PDF
Victor Morel
Language Models in Cybersecurity: A Comparative Approach to Task-Driven Model Assessment 43-54 PDF
Holger Schmidt, Klaus Kaiser, Daniel Spiekermann
Seed Scheduling in Fuzz Testing as a Markov Decision Process 55-67 PDF
Rafael Fernandes Cunha, Luca Müller, Thomas Rooijakkers, Puck de Haan, Fatih Turkmen
TAIBOM: Bringing Trustworthiness to AI-Enabled Systems 68-78 PDF
Vadim Safronov, Anthony McCaigue, Nick Allott, Andrew Martin

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