| 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 the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# SPAIML 2025
Security and Privacy-Preserving AI/ML 2025

## Proceedings of the 1st International Workshop on Security and Privacy-Preserving AI/ML
co-located with 28th European Conference on Artificial Intelligence (ECAI 2025)

### Bologna, Italy, October 26th, 2025.

Edited by

### Jens Leicht 1
Julien Lukasewycz 1
Malte Josten 1
Torben Weis 1

1 University of Duisburg-Essen, Distributed Systems Research Group, Duisburg, Germany

## Table of Contents

- Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, all of which as regular papers.

### Session 1: Paper Presentations (1)

- Alignment and Adversarial Robustness: Are More Human-Like Models More Secure? 1-10
  Blaine Hoak, Kunyang Li, Patrick McDaniel
- Collaborative Reinforcement Learning for Cyber Defense: Analysis of Strategies, and Policies 11-20
  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
  Huynh Phuong Thanh Nguyen, Shivang Kumar, Katsutoshi Yotsuyanagi, Razvan Beuran
- Preliminary Investigation into Uncertainty-Aware Attack Stage Classification 31-41
  Alessandro Gaudenzi, Lorenzo Nodari, Lance Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti

### Session 2: Invited Talk

- Abstract: Should I trust it with my data? Capabilities, limits, and perspectives of AI technologies for privacy 42
  Victor Morel

### Session 3: Paper Presentations (2)

- Language Models in Cybersecurity: A Comparative Approach to Task-Driven Model Assessment 43-54
  Holger Schmidt, Klaus Kaiser, Daniel Spiekermann
- Seed Scheduling in Fuzz Testing as a Markov Decision Process 55-67
  Rafael Fernandes Cunha, Luca Müller, Thomas Rooijakkers, Puck de Haan, Fatih Turkmen
- TAIBOM: Bringing Trustworthiness to AI-Enabled Systems 68-78
  Vadim Safronov, Anthony McCaigue, Nick Allott, Andrew Martin

2026-01-12: submitted by Malte Josten, metadata incl. bibliographic data published under Creative Commons CC0
2026-01-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|