3rd International Workshop on Advances on Privacy Preserving Technologies and Solutions
to be held in conjunction with the 18th International Conference on Availability, Reliability and Security
(ARES 2023 – http://www.ares-conference.eu)
August 29 – September 01, 2023
The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. It has transformed into a fertile surface for cyber-attacks skyrocketing the cyber risk of involved industries and impacting several areas, including computer vision, natural language processing, transportation, trust computing, identity management and psychological manipulation.
This workshop aims to strengthen security and privacy through research and relevant activities in the models and design of secure, privacy-preserving and trust architectures, investments in cyber-defense, data analyses, fusion platforms, protocols, algorithms, services, and applications for next generation systems and solutions. We especially encourage security and privacy solutions that employ innovative machine learning techniques to tackle the issues of inspecting large data volumes, cyberattacks, and variety problems that are systemic in IoT platforms, theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy and affect the cyber risk of the participating entities.
The 2023 IWAPS will bring together researchers, engineers, and practitioners to present and discuss latest advances and innovations in theories, infrastructure, schemes, and applications for secure computation, privacy technologies, security economics, human computer interaction, as well as to identify emerging research topics and define the future trends.
The workshop is co-organized from the following European Commission (Horizon 2020 Programme) projects:
We invite authors to submit unpublished work describing research or experience in all areas of usable privacy and security. We accept a variety of research methods, including both qualitative and quantitative approaches. Papers will be judged on their scientific quality, and contribution to the field.
Topics include, but are not limited to
Architectures and protocols for scalable, secure, robust and privacy enhancing technologies.
Security and privacy frameworks.
Cryptographic approaches for security and privacy.
Trust frameworks and management models for IoT.
Threat and attack models in IoT.
Intrusion and malware detection for IoT.
End-to-end system security models for IoT.
Machine Learning for security and privacy in privacy preserving technologies.
Protection solutions against adversarial machine learning attacks.
Deep Learning and privacy preserving.
Machine learning technique for deep packet inspection.
Machine learning to analyze cryptographic protocols.
Privacy-preserving and machine-learning-based data analytics.
Analysis of mitigations and automating.
Machine Learning technique to predict psychological manipulation.
Machine Learning in predicting the weakest link in an architecture.
Game Theoretic approach to predict attacking paths.
Privacy enhancing and anonymization techniques.
Privacy preserving security/privacy policies.
Privacy preserving in IoT.
Applications of privacy-preserving AI systems.
Attacks on data privacy.
Differential privacy: theory and applications.
Distributed privacy-preserving algorithms.
Human rights and privacy.
Privacy issues related to the Covid-19 outbreak.
Privacy policies and legal issues.
Privacy preserving optimization and machine learning.
Privacy preserving test cases and benchmarks.
Surveillance and societal issues.
Investments in cyber-defense.
COVID-19 impact in psychological manipulation.
Weakest link in Cybersecurity.
Ethical, psychological, sociological, or anthropological aspects of usable security and privacy.
Machine Learning in automated software testing.
Cybersecurity risk management.
Security controls and budget allocation.
|Submission Deadline||May 31, 2023|
|Author Notification||June 14, 2023|
|Proceedings Version||June 28, 2023|
|Conference||August 29 – September 01, 2023|
University Pireus, Greece
University of Piraeus, Greece
Inlecom Innovation, Greece
Industrial Systems Institute of ATHENA Research and Innovation Center, Greece
InQBit Innovation SRL, Romania
Christoforos Ntantogian, Ionian University, Greece
Nikos Passas, National and Kapodistrian University of Athens, Greece
Dionysis Xenakis, National and Kapodistrian University of Athens, Greece
Manos Panaousis, University of Greenwich, United Kingdom
Nikolaos Laoutaris, IMDEA, Spain
Aristeidis Farao, University of Piraeus Greece
Panagiotis Bountakas, University of Piraeus Greece
Vaios Bolgouras, University of Piraeus Greece
Anna Angelogianni, University of Piraeus Greece
Konstatninos Papadamou, Trinomial Technologies LTD, Cyprus
Michael Sirivianos, Cyprus University of Technology, Cyprus
Nikos Salamanos, Cyprus University of Technology, Cyprus
Sofia Anna Menesidou, UBITECH LTD, Cyprus
George Suciu, BEIA Consult. International, Romania
Marius Vochin, Polytechnic University of Bucharest, Romania
Alexandru Vulpe, Polytechnic University of Bucharest, Romania
Sakshyam Panda, University of Surrey, United Kingdom
Antonio Muñoz, Universidad de Málaga, Spain
Cristina Alcaraz, Universidad de Málaga, Spain
Nikos Georgopoulos, CROMAR Insurance Brokers LTD, Greece
Giuseppe Bianchi, CNIT, Italy
Evangelos Kotsifakos, LSTech, Spain
The submission guidelines valid for the workshop are the same as for the ARES conference. They can be found at https://www.ares-conference.eu/conference/submission/.