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
IMPORTANT DATES
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))
AIMS AND SCOPE
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
Topics of interest include, but are not limited, to the following:
- Application of Machine Learning for Software Security
- Security Testing and validation of Machine Learning Systems
- Application of Large Language Models (LLMs) for Software Security
- Security Analysis of Large Language Models (LLMs)
- Adversarial Machine Learning
- Robustness Analysis of Machine Learning Algorithms
- Detection and Defense to Training Data set Poison attack (including backdoor attacks)
- Privacy-Preserving Machine Learning
- Watermarking of Machine Learning Algorithms and Systems
- Attack and defence of face recognition systems
- Attacks and defence of voice recognition and voice commanded systems
- Attacks and defence of machine learning algorithms in program analysis
- Malware identification and analysis
- Spam and phishing email detection
- Vulnerability analysis
SUBMISSION GUIDELINES
Authors are welcome to submit their papers in the following two forms:
-
Full papers that present relatively mature research results related to security issues of machine learning algorithms, systems, and applications. The paper could be an attack, defence, security analysis, survey, etc. The submissions for this type must follow the original LNCS format (see LNCS format) with a page limit of 18 pages (including references) for the main part (reviewers are not required to read beyond this limit) and 20 pages in total. Note that the page limit for the camera-ready paper is set to a maximum of 20 pages (in LNCS format).
-
Short papers that describe ongoing work and bring some new insights and inspiring ideas related to security issues of machine learning algorithms, systems, and applications. Short papers will follow the same LNCS format as full papers (see LNCS format) but with a page limit of 9 pages (including references).
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.
- Special Note to Springer LNCS Proceedings: Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
EasyChair System will be used for paper submission.
Submission Link
Please submit your paper via Easychair: Easychair Submission Link
BEST PAPER AWARD
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
STUDENT TRAVEL GRANT
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.
INVITED SPEAKERS
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.
WORKSHOP ORGANIZERS
| 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 |
PROGRAM COMMITTEE
| 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 |
WORKSHOP REGISTRATION
Please Register Here.
PROGRAM
| 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 |
CONTACT INFORMATION
For more information, please contact the organizer Ezekiel Soremekun