International Workshop on Security, Privacy, and Artificial Intelligence

Today, the merging of artificial intelligence and cybersecurity can give better results to improve each other. Artificial intelligence can improve the attack detection in cybersecurity system whereat the security and privacy techniques can help the AI to better secure and protect its data privacy. For example, in federated learning situation, applying security techniques can lead to detect and remove malicious nodes and therefore protecting the global learned model from several attacks like: poisoning attack. In other situations, AI system need accurate data to train its model and any changes that can be made on this data will results in low accuracy.

The aim of the Workshop on Security, Privacy, and Artificial Intelligence is to discuss the recent advances of merging AI, Security and privacy techniques.

This workshop is co-located with the 2nd International Conference on Autonomous Systems and their Applications (ICASA 2024).  

 Topics of interest are given below but are not limited to:

- Enhencing Privacy and Security Using Artificial Intelligence

- Merging AI techniques with Privacy methods

- Security and privacy in federated learning

- Security and privacy of semantic communications

- Security and privacy of machine learning

- Blockchain based Security an Privacy

- Privacy Concerns in IOT

- Data Security and Privacy

IMPORTANT DATES:

Submission Deadline:   Novembre 20, 2024

Acceptance Notification: Novembre 30, 2024

Camera Ready: Decembre 05, 2024

Workshop Date:  Decembre 15, 2024

COMMITTEES:

STEERING COMMITTEE:

Ala Djeddai, ElTarf University, Algeria

Betouil Ali Abdelatif, ElTarf University, Algeria

TECHNICAL PROGRAM COMMITTEE MEMBERS:

Makhlouf Derdour, Univ Larbi Benmhidi, Algeria

Abedelmajid Benmachiche, Univ Eltarf, Algeria

Ahmed Ahmim, Univ Soukahrass, Algeria

Ala Djeddai, Unv Eltarf, Algeria

Sahraoui Abdellatif, Univ Tebessa, Algeria

Yasmine Labiod, Univ Annaba, Algeria

Nassira Ghoualmi, Univ Annaba, Algeria

Betouil Ali Abedelatif, Univ Eltarf, Algeria

Chemam Chaouki, Univ Eltarf, Algeria

SUBMISSION INSTRUCTIONS:

Submitted papers must represent original work that is not currently under review in any other conference or journal, and has not been published before. All submissions must be written in English with a maximum paper length between 10 and 15 pages and formatted according to the CEUR-WS format. For the templates, please use this link: https://ceur-ws.org/Vol-XXX/CEURART.zip

Submission Link:   https://cmt3.research.microsoft.com/ICASA2024 and you must select the workshop track

The workshop AISP 2024 proceedings shall be submitted to CEUR-WS for online publication, indexed among other at DBLP, Scopus, Semantic Scholar, and Google Scholar.