Cybersecurity and society: on the necessity of an interdisciplinary approach

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Although the solution to the issue of cybersecurity has long been considered only from a technical point of view, the recent multiplication of incidents across the world has brought out a complex ecosystem of states and private actors with sometimes different incentives as well as the need for people to draft a set of laws and regulations matching the specificity of cyberspace.

The goal of this workshop is to emphasize the necessity of an interdisciplinary approach to cybersecurity through three research topics of the Cybersecurity Institute: the concept of sustainable cybersecurity, the relationships between AI and trust and finally the issue of hack-back by private actors.

Detailed programme:

Monday 3 June
10:30am - 12:30pm
Sustainable cybersecurity and lifecycle management
Chairman: Romain Xu-Darme

Today, digital technologies are omnipresent and their lifetime varies depending on the environment in which they are deployed: replaced after only a few years for individuals (smartphones, home automation), some products can remain in use for several decades - especially in the industry where the cost of deploying new solutions (or even updates) has a deterrent effect on the regular renewal of critical equipments. Meanwhile, recent cyberattacks targeting (apparently) harmless smart devices, or industrial systems (Stuxnet), have shown that cybersecurity is a challenge for modern technology as a whole and - as such - has become a societal issue. Like the concept of Sustainable Development initiated in the late 80s, the goal of this workshop is to study the integration of cybersecurity as a key element throughout the development and the life-cycle of any technological product.

- Lilian Bossuet, Professor of University and head of the Embedded System Security and Hardware Architecture group - University Jean Monnet, Hubert Curien Laboratory
- Guy Gogniat, Professor in ECE - Université Bretagne Sud
12:30pm - 2pm Lunch
2pm - 5:30pm

Building trust in AI, building trust with AI
Chairmen: Daniel Le Métayer, Claude Castelluccia, Patrick Loiseau and Oana Goga

While algorithms are hardly a recent invention, they are nevertheless increasingly involved in systems used to support decision making. Algorithmic decision systems often rely on AI and the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed useful to make decisions. Human intervention in the decision-making may vary, and may even be completely out of the loop in entirely automated systems. In many situations, the impact of the decision on people can be significant, such as: access to credit, employment, medical treatment, judicial sentences, etc. Entrusting algorithmic decision systems to make or to influence such decisions raises a variety of different ethical, political, legal, or technical issues. If they are neglected, the expected benefits of these systems may be counterbalanced by the variety of risks for individuals (e.g., discrimination, unfair practices, loss of autonomy), the economy (e.g., unfair practices, limited access to markets) and society as a whole (e.g., manipulation, threat to democracy). To enhance trust in algorithmic decision systems it is necessary to ensure their transparency, explainability and fairness as well as their security and privacy. This workshop will gather a set of international experts to discuss how to embed these properties into algorithmic decision systems.

Challenges in making social media advertising more transparent
- Oana Goga, Researcher - LIG, Univ. Grenoble Alpes

On Machine-Aided Human Decision Making
- Krisna Gummadi - MPI, Saarbrücken

Meaningful Explanations of Black Box AI Decision Systems
- Dino Pedreschi, Professor of Computer Science - University of Pisa

Legibility of AI in the GDPR and other legal safeguards in the EU Member States
- Gianclaudio Malgieri, Attorney at Law, Doctoral researcher - Free University of Brussels

Understanding algorithmic decision-making: Opportunities and challenges (study for the European Parliament)
- Claude Castelluccia, Research Director - Inria - Grenoble Rhône-Alpes
- Daniel Le Métayer, Research Director - Inria - Grenoble Rhône-Alpes

Panel Discussion: Interdisciplinary panel on explainability
Chairmen: Marc Clément and Daniel Le Métayer

- When should explainability be a requirement for algorithmic decision systems ?
- Can explainability justify a loss of accuracy ?
- What kind of explanations ? Intended for whom ?
- What is a good explanation ? How to assess their quality ?

Main speakers:

Lilian Bossuet
Lilian Bossuet
Professor of University and head of the Embedded System Security and Hardware Architecture group - University Jean Monnet, Hubert Curien Laboratory

Lilian Bossuet is a professor at the University Jean Monnet in Saint-Etienne. His work mainly focuses on hardware security, security of embedded systems and war against IC copy and counterfeiting.
Claude CastellucciaClaude Castelluccia
Research Director - Inria, Grenoble

Claude Castelluccia is a research director at Inria, in the French Alps, where he leads the PRIVATICS team (Privacy Models, Architectures and Tools for the Information Society). Claude has held visiting research positions at UC Irvine and Stanford University, California, USA. His past research interests include networking, Internet protocols, network security and applied cryptography. His current research is on IT security, privacy and ethics.
oanagogaOana Goga
Researcher - LIG, Univ. Grenoble Alpes

Oana Goga is a CNRS research scientist in the Laboratoire d’Informatique Grenoble (France) since October 2017. Prior to this, she was a postdoc at the Max Plank Institute for Software Systems and obtained a PhD in 2014 from Pierre et Marie Curie University in Paris. She is the recipient of a young researcher award from the French National Research Agency (ANR). Her research interests are in security and privacy issues that arise in online systems that have at their core user provided data.
Guy GogniatGuy Gogniat
Professor in ECE - Université Bretagne Sud

Guy Gogniat is a Professor in ECE with the Université Bretagne Sud, Lorient, France, where he has been since 1998. In 2005, he spent one year as an invited researcher with the University of Massachusetts, Amherst, USA, where he worked on security using reconfigurable technologies. His work focuses on embedded systems design and specially on embedded system security. Since 2003, he has been involved in several projects dealing with security for communications and memories. He has also addressed cache-based side-channel attacks in multiprocessor architectures, coprocessor for dynamic information flow tracking in MPSoC systems and hardware design of coprocessor for homomorphic encryption schemes.
Daniel Le MétayerDaniel Le Métayer
Research Director - Inria - Grenoble Rhône-Alpes

Daniel Le Métayer is Research Director at Inria working in the area of privacy protection, in particular privacy by design, privacy risk analysis, accountability and transparency. He is a member of the European Commission Multistakeholder expert group to support the application of General Data Protection Regulation (GDPR) and chairman of the scientific committee of the CNIL-Inria Privacy Award. He is the author of about 150 articles in high-level journals and he has been involved in various international projects on privacy, IT security, software design and analysis, testing, etc.
Gianclaudio MalgieriGianclaudio Malgieri
Attorney at Law, Doctoral researcher - Free University of Brussels

Gianclaudio Malgieri is an Attorney at Law and a doctoral researcher at "Law, Science, Technology and Society" group of the Free University of Brussels, where he is Work Package Leader of the EU PANELFIT Project, for the development of Legal&Ethical Guidelines on Data Processing and automated decision-making in ICT Research. He is lecturer of Data Protection and Intellectual Property at the University of Pisa; Senior Associate for a law firm and Training Coordinator for the Brussels Privacy Hub. He got an LLM with honours at the University of Pisa and a JD with honours at Sant'Anna School of Advanced Studies of Pisa (Italy).  He was visiting student at the Oxford University, London School of Economics, World Trade Institute of the University of Bern and École Normale Superieure de Paris. He has published more than 25 articles in leading international law reviews, including the Italian Handbook of Personal Data Protection.
His main research focuses on unfair imbalance and new vulnerable individuals in the AI environment. He also conducts research on Surveillance, data ownership and intellectual privacy.
Dino PedreschiDino Pedreschi
Professor of Computer Science - University of Pisa

Dino Pedreschi is a Professor of Computer Science at the University of Pisa, and a pioneering scientist in data science: mobility data mining, social network analysis, digital ethics and privacy-preserving data mining. He co-leads the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research lab centred on data mining. His research revolves around big data analytics and social mining and the impact of data science and AI on society. He is a co-founder of of, the European H2020 Research Infrastructure "Big Data Analytics and Social Mining Ecosystem". Dino has been a visiting scientist at the Center for Complex Network Research of Northeastern University, Boston (2009-2010), and earlier at the University of Texas at Austin (1989-90), at CWI Amsterdam (1993) and at UCLA (1995). In 2009, Dino received a Google Research Award for his research on privacy-preserving data mining.