IWAPS 2022

2nd International Workshop on Advances on Privacy Preserving  Technologies and Solutions (IWAPS 2022)

to be held in conjunction with the 17th International Conference on Availability, Reliability and Security
(ARES 2022 – http://www.ares-conference.eu)

August 23 – August 26, 2022

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 2022 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) and Greek state (EPAnEK) projects:



Authors of accepted papers are invited to submit an extended version (at least 50% of new/additional material and the common part should not exceed 30% from the proceedings paper)  for a fast-track publication to the Cryptography Journal under the special issue: “Future-Proof Secure Systems with Traditional and Quantum Resistant Cryptography”. Papers will be published free of charge and as soon as the review process is finalized and the paper gets accepted.


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
Security economics
Investments in cyber-defense
COVID-19 impact in psychological manipulation
Human firewall
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 02, 2022 May 10, 2022
Author Notification May 30, 2022
Proceedings Version June 19, 2022
ARES EU Symposium August 23, 2022
Conference August 23 – August 26, 2022
Workshop Chairs

Christos Xenakis
University Pireus, Greece

Antonio Skarmeta
Universidad de Murcia, Spain

Konstantinos Loupos
Inlecom Innovation, Greece

Ilias Politis
InQBit, Romania

Programm Committee

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


It is necessary that all papers submitted to EasyChair are anonymized (no names or affiliations of authors should be visible in the paper).

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/.