Abu Dhabi, UAE | 5-8 March, 2024

Call for Papers

6th ACNS Workshop on Security in Machine Learning and its Applications (SiMLA 2024)

Co-located with ACNS 2024: 22nd International Conference on Applied Cryptography and Network Security


Paper submission deadline: December 10, 2023 (Anywhere on Earth)[Extended]
Acceptance Notification: January 10, 2024
Camera-ready deadline: January 20, 2024 (Anywhere on Earth)
SiMLA Conference: March 7, 2024 (14:00 - 17:30 Gulf Standard Time (GMT+4))


As the development of computing hardware, algorithms, and more importantly, the availability of a large volume of data grows, machine learning technologies have become increasingly popular. Practical systems have been deployed in various domains, like face recognition, automatic video monitoring, and even auxiliary driving. However, the security implications of machine learning algorithms and systems are still unclear. For example, developers still lack a deep understanding of adversarial machine learning, one of the unique vulnerabilities of machine learning systems, and are unable to evaluate the robustness of those machine learning algorithms effectively. The other prominent problem is privacy concerns when applying machine learning algorithms, and as the general public is becoming more concerned about their privacy, more works are definitely desired towards privacy-preserving machine learning systems.

Motivated by this situation, this workshop solicits original contributions on the security and privacy problems of machine learning algorithms and systems, including adversarial learning, algorithm robustness analysis, privacy-preserving machine learning, etc. We hope this workshop can bring researchers together to exchange ideas on cutting-edge technologies and brainstorm solutions for urgent problems derived from practical applications.


Topics of interest include, but are not limited, to the following:


Authors are welcome to submit their papers in the following two forms:

The submissions must be anonymous, with no author names, affiliations, acknowledgement, or obvious references. Once accepted, the papers will appear in the formal proceedings. Authors of accepted papers must guarantee that their papers will be presented at the conference and must make their papers available online. There will be the best paper award.

EasyChair System will be used for paper submission.

Please submit your paper via Easychair: Easychair Submission Link


Each workshop affiliated with ACNS 2024 (ADSC, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA and S&P-FL) will nominate the best paper candidates. Best workshop papers will be selected and awarded with 500 EUR prize sponsored by Springer. The list of previous best workshop papers is available here


ACNS 2024 offers travel grants for students to encourage participation and submission of their papers. For more details check ACNS'24 Student Travel Grants website.


Keynote by Prof. Yang Zhang, Faculty (full professor) at CISPA Helmholtz Center for Information Security and a member of ELLIS - the European Laboratory for Learning and Intelligent Systems.

There will be 1-2 invited keynote speakers in the workshop.


Name Institution Chair
Ezekiel Soremekun Royal Holloway, University of London Workshop Chair
Badr Souani SnT, University of Luxembourg Web Chair
Salijona Dyrmishi SnT, University of Luxembourg Publicity Chair


Name Institution
Ahmed Rezine Linköping University
Alexandre Bartel Umeå University
Amin Aminifar Heidelberg University
Christopher M. Poskitt Singapore Management University
Jingyi Wang Zhejiang University
Salah Ghamizi SnT, University of Luxembourg
Salijona Dyrmishi University of Luxembourg
Sudipta Chattopadhyay Singapore University of Technology and Design
Thibault Simonetto SnT, University of Luxembourg


Please Register Here.


Time Table : Thursday 7th March, 2024 (Hybrid: Physical (Room 2) + Virtual (Zoom))
GST (GMT+4) UTC Agenda Chair Details
14:00 10:00 Opening Salijona Dyrmishi
14:15 10:15 Invited Talk Ezekiel Soremekun Speaker Name: Prof. Yang Zhang

Affiliation: CISPA Helmholtz Center for Information Security

Title: "Attacking Machine Learning Models"
15:15 11:15 Break
15:45 11:45 Paper (30 min each) Salijona Dyrmishi (1) Alessandro Brighente, Mauro Conti, Sitora Salaeva and Federico Turin. One Class to Test Them All: One-Class Classifier-Based ADS-B Location Spoofing Detection

(2) Kota Yoshida and Takeshi Fujino. Model Extraction Attack without Natural Images

(3) Ruilin Wang and Chuadhry Mujeeb Ahmed. Differential Privacy with Selected Privacy Budget ε in a Cyber Physical System Using Machine Learning

(4) Amirhossein Ebrahimi, Buvana Ganesh and Paolo Palmieri. Privacy-Preserving Sentiment Analysis using Homomorphic Encryption and Attention Mechanisms
17:45 12:45 Closing Ezekiel Soremekun


For more information, please contact the organizer Ezekiel Soremekun

SiMLA 2024 (Co-located with ACNS2024)